From 16352c1778966fa764c462f0e3fccf54abacaf8f Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 13 Sep 2022 17:18:00 +0200 Subject: [PATCH 001/182] updating roxygen version --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index c11f45a..0f210d1 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -21,7 +21,7 @@ Description: DeeDee is a collection of functions to compare the results of two License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) -RoxygenNote: 7.1.2 +RoxygenNote: 7.2.1 Depends: R (>= 4.1.0) Imports: From 353381bf3e23c6382238d8be96f99d74d2cf1235 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 13 Sep 2022 17:18:09 +0200 Subject: [PATCH 002/182] updating namespace --- NAMESPACE | 1 + 1 file changed, 1 insertion(+) diff --git a/NAMESPACE b/NAMESPACE index a6c8471..6c8fe1d 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,5 +1,6 @@ # Generated by roxygen2: do not edit by hand +export(DeeDeeObject) export(deedee_app) export(deedee_cat) export(deedee_heatmap) From 4d267a975fb789603f903dd2c5afe3205f2158e1 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 13 Sep 2022 17:18:22 +0200 Subject: [PATCH 003/182] fixing typo --- vignettes/deedee_manual.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/deedee_manual.Rmd b/vignettes/deedee_manual.Rmd index c5e3a1c..641257f 100644 --- a/vignettes/deedee_manual.Rmd +++ b/vignettes/deedee_manual.Rmd @@ -134,7 +134,7 @@ The function `deedee_venn()` creates a Venn diagram depicting the overlaps of di \pagebreak ## DeeDee UpSet Plot -The function `deedee_upset()` creates an UpSet plot depicting the overlaps of differentially expressed genes in the input datasets. Contrary to [`deedee_venn()`](#deedee-venn-diagram), the UpSet plot can compare multiple (and even more than four) datasets in a visually pleasing way. The parameter `mode` can be set to `up`, `down`, `both`, or `both_colored` (default), specifying if only up-regulated, down-regulated or both DE genes shall be depicted. If `both_colored` is chosen, the result is the same UpSet plot as for `both`, but the shares of the intersections where all samples have positive/negative logFC values are colored accoring to the color key. The minimum size for an intersection to be included in the plot can be defined via the parameter `min_setsize`, default is 10. +The function `deedee_upset()` creates an UpSet plot depicting the overlaps of differentially expressed genes in the input datasets. Contrary to [`deedee_venn()`](#deedee-venn-diagram), the UpSet plot can compare multiple (and even more than four) datasets in a visually pleasing way. The parameter `mode` can be set to `up`, `down`, `both`, or `both_colored` (default), specifying if only up-regulated, down-regulated or both DE genes shall be depicted. If `both_colored` is chosen, the result is the same UpSet plot as for `both`, but the shares of the intersections where all samples have positive/negative logFC values are colored according to the color key. The minimum size for an intersection to be included in the plot can be defined via the parameter `min_setsize`, default is 10. ```{r, echo = TRUE, warning = FALSE, message = FALSE} deedee_upset(data = DeeDee_obj, mode = "both_colored", min_setsize = 15, pthresh = 0.05) From 7065c989844c02fe850f763110f7c336ecdcc7c9 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 14 Sep 2022 01:13:10 +0200 Subject: [PATCH 004/182] specifying output format for vignette --- vignettes/deedee_manual.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/deedee_manual.Rmd b/vignettes/deedee_manual.Rmd index 641257f..3655f57 100644 --- a/vignettes/deedee_manual.Rmd +++ b/vignettes/deedee_manual.Rmd @@ -6,7 +6,7 @@ author: Mainz date: "`r Sys.Date()`" output: - html_document: + rmarkdown::html_document: toc: yes toc_float: yes theme: cosmo From bb4ab6dbd60d30fed72fe6e7f327854b482dd304 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 14 Sep 2022 11:37:28 +0200 Subject: [PATCH 005/182] specifying one single output format for the vignette --- vignettes/deedee_manual.Rmd | 2 -- 1 file changed, 2 deletions(-) diff --git a/vignettes/deedee_manual.Rmd b/vignettes/deedee_manual.Rmd index 3655f57..da08010 100644 --- a/vignettes/deedee_manual.Rmd +++ b/vignettes/deedee_manual.Rmd @@ -12,8 +12,6 @@ output: theme: cosmo code_folding: show code_download: yes - pdf_document: - toc: yes vignette: | %\VignetteIndexEntry{The DeeDee User's Guide} %\VignetteEncoding{UTF-8} From 3a0f5f0f4415bf6de10e7fbf85915f2fac48fb5c Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 10:14:00 +0100 Subject: [PATCH 006/182] create definition of the class, v1 --- R/AllClasses.R | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) create mode 100644 R/AllClasses.R diff --git a/R/AllClasses.R b/R/AllClasses.R new file mode 100644 index 0000000..735a55c --- /dev/null +++ b/R/AllClasses.R @@ -0,0 +1,16 @@ +#' DeeDeeExperiment +#' +#' @rdname DeeDeeExperiment +#' +#' @exportClass DeeDeeExperiment +#' +#' @slot dea todo +#' +setClass("DeeDeeExperiment", + contains = "RangedSummarizedExperiment", + slots = representation( + dea = "list" + ) +) + +# TODOs in general: provide some corollary info as messages for most functions? From f2fb508126d96133907f140c3b40056b9d12d10d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 10:16:58 +0100 Subject: [PATCH 007/182] first round of defining generics and methods - dea and show --- R/AllGenerics.R | 4 ++++ 1 file changed, 4 insertions(+) create mode 100644 R/AllGenerics.R diff --git a/R/AllGenerics.R b/R/AllGenerics.R new file mode 100644 index 0000000..589da13 --- /dev/null +++ b/R/AllGenerics.R @@ -0,0 +1,4 @@ +# (re)definition of one of the methods/functions + +#' @export +setGeneric("dea", function(x, ...) standardGeneric("dea")) From 5b7eeb3ffada0150ef99c32a1645c3c56fdc1bd1 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 10:17:09 +0100 Subject: [PATCH 008/182] methods definition, dea and show --- R/DeeDeeExperiment-methods.R | 55 ++++++++++++++++++++++++++++++++++++ 1 file changed, 55 insertions(+) create mode 100644 R/DeeDeeExperiment-methods.R diff --git a/R/DeeDeeExperiment-methods.R b/R/DeeDeeExperiment-methods.R new file mode 100644 index 0000000..8ed237a --- /dev/null +++ b/R/DeeDeeExperiment-methods.R @@ -0,0 +1,55 @@ +#' @name DeeDeeExperiment-dea +#' +#' @title Methods for deedee exps +#' +#' @aliases +#' dea +#' +#' @description +#' Todo +#' +#' @param x deex +#' +#' @return Return value varies depending on method, as described below. +NULL + + +#' @rdname DeeDeeExperiment-dea +#' @export +setMethod("dea", + signature = "DeeDeeExperiment", + definition = function(x) { + x@dea + }) + + +#' @name DeeDeeExperiment-misc +#' +#' @title Miscellaneous DeeDeeExperiment methods +#' +#' @description +#' Miscellaneous methods for the \code{\link{DeeDeeExperiment}} class and its +#' descendants that do not fit into any other documentation category such as, +#' for example, show methods. +#' +#' @param object a \code{\link{DeeDeeExperiment}} object +#' +#' @return Returns NULL +#' +NULL + + +#' @rdname DeeDeeExperiment-misc +#' @export +#' +setMethod("show", + signature = signature(object = "DeeDeeExperiment"), + definition = function(object) { + + callNextMethod() + cat( + "Including ", length(object@dea), " DE analyses:\n", + paste(names(object@dea), collapse = ", "), + sep="" + ) + }) From 62329d2d0de390193b43317deaadee86cfd883cc Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 10:17:51 +0100 Subject: [PATCH 009/182] moving all internals related to the app into a single file --- R/DeeDee-app_helpers.R | 229 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 229 insertions(+) create mode 100644 R/DeeDee-app_helpers.R diff --git a/R/DeeDee-app_helpers.R b/R/DeeDee-app_helpers.R new file mode 100644 index 0000000..e665bdf --- /dev/null +++ b/R/DeeDee-app_helpers.R @@ -0,0 +1,229 @@ + +rds_input <- function(obj, + nm) { + + if (class(obj) == "DeeDeeObject") { + obj <- obj@DeeDeeList + } + if (class(obj) == "DESeqResults") { + obj <- deedee_prepare(obj, "DESeq2") + obj <- list(obj) + names(obj) <- unlist(strsplit(nm, + split = ".", + fixed = TRUE + ))[1] + } else if (class(obj) == "DGEExact") { + obj <- deedee_prepare(obj, "edgeR") + obj <- list(obj) + names(obj) <- unlist(strsplit(nm, + split = ".", + fixed = TRUE + ))[1] + } else if (class(obj) == "list") { + for (j in length(obj)) { + if (checkmate::test_subset( + names(obj[[j]]), + c("logFC", "pval") + ) == FALSE) { + return(NULL) + } + } + } else if (class(obj) == "data.frame") { + if (length(obj) == 2) { + if (checkmate::test_subset( + names(obj), + c("logFC", "pval") + ) == FALSE) { + return(NULL) + } + obj <- list(obj) + names(obj) <- unlist(strsplit(nm, + split = ".", + fixed = TRUE + ))[1] + } else if (length(obj) == 6) { + if (checkmate::test_subset(names(obj), c( + "logFC", + "AveExpr", + "t", + "P.Value", + "adj.P.Val", + "B" + )) == FALSE) { + return(NULL) + } + obj <- deedee_prepare(obj, "limma") + obj <- list(obj) + names(obj) <- unlist(strsplit(nm, + split = ".", + fixed = TRUE + ))[1] + } else { + return(NULL) + } + } + + return(obj) +} + + +xlsx_input <- function(obj, + path, + nm) { + + if (length(obj) > 1) { + out <- lapply(obj, + readxl::read_excel, + path = path + ) + names(out) <- obj + for (j in 1:length(obj)) { + out[[obj[j]]] <- as.data.frame(out[[obj[j]]]) + out[[obj[j]]] <- tibble::column_to_rownames( + out[[obj[j]]], "rowname" + ) + if (checkmate::test_subset( + names(out[[j]]) == FALSE, + c("logFC", "pval") + )) { + return(NULL) + } + } + } else { + out <- readxl::read_excel(path = path) + out <- tibble::column_to_rownames(out, "rowname") + out <- list(out) + names(out) <- unlist(strsplit(nm, + split = ".", + fixed = TRUE + ))[1] + } + return(out) +} + + + + + +ora <- function(geneList, + universe, + orgDB, + key_type) { + + # ---------------------------- data preparation ----------------------------- + genes <- geneList[1] + genes <- row.names(genes) + genes <- genes[!is.na(genes)] + + universe[[1]] <- tibble::rownames_to_column(universe[[1]]) + universe[[2]] <- tibble::rownames_to_column(universe[[2]]) + univ <- dplyr::inner_join(universe[[1]], universe[[2]], by = "rowname") + univ <- univ[["rowname"]] + + # ---------------------------------- GSEA ----------------------------------- + res <- clusterProfiler::enrichGO( + gene = genes, + universe = univ, + OrgDb = get(orgDB), + ont = "BP", + keyType = key_type, + pAdjustMethod = "BH", + pvalueCutoff = 0.01, + qvalueCutoff = 0.05, + readable = TRUE + ) + + # --------------------------------- return ---------------------------------- + return(res) +} + + + +input_infobox <- function(deedee_obj, + sets, + md) { + + ext <- c() + filename <- c() + res <- list() + type <- c() + contrast <- c() + genes <- c() + count <- 0 + + if (!is.null(deedee_obj)) { + for (j in 1:length(deedee_obj@DeeDeeList)) { + count <- count + 1 + type[count] <- "DeeDee object" + filename[count] <- "input as argument" + contrast[count] <- names(deedee_obj@DeeDeeList)[j] + genes[count] <- length(deedee_obj@DeeDeeList[j] + [[contrast[count]]][["logFC"]]) + } + } + + # reading out input files + if (length(sets[, 1] > 0)) { + for (i in 1:(length(sets[, 1]))) { + ext[i] <- tools::file_ext(sets[i, "datapath"]) + + if (ext[[i]] == "rds" || ext[[i]] == "RDS") { + res[[i]] <- readRDS(sets[[i, "datapath"]]) + } else if (ext[[i]] == "xlsx") { + sheets <- readxl::excel_sheets(sets[[i, "datapath"]]) + res[[i]] <- lapply(sheets, + readxl::read_excel, + path = sets[[i, "datapath"]] + ) + names(res[[i]]) <- sheets + for (j in 1:length(sheets)) { + res[[i]][[sheets[j]]] <- as.data.frame(res[[i]][[sheets[j]]]) + res[[i]][[sheets[j]]] <- tibble::column_to_rownames( + res[[i]][[sheets[j]]], "rowname" + ) + } + } else if (ext[[i]] == "txt") { + temp <- utils::read.table(sets[[i, "datapath"]]) + res[[i]] <- list(temp) + names(res[[i]]) <- unlist(strsplit(sets[i, "name"], + split = ".", + fixed = TRUE + ))[1] + } + + if (class(res[[i]]) == "DESeqResults" || + class(res[[i]]) == "DGEExact" || + length(names(res[[i]])) == 6 || + class(res[[i]]) == "DeeDeeObject") { + count <- count + 1 + type[count] <- class(res[[i]]) + filename[count] <- sets[i, "name"] + contrast[count] <- unlist(strsplit(filename[count], + split = ".", + fixed = TRUE + ))[1] + genes[count] <- length(md@DeeDeeList + [[contrast[count]]][["logFC"]]) + } else { + if (class(res[[i]]) == "data.frame") { + res[[i]] <- list(res[[i]]) + names(res[[i]]) <- unlist(strsplit(sets[i, "name"], + split = ".", + fixed = TRUE + ))[1] + } + for (j in 1:length(res[[i]])) { + count <- count + 1 + type[count] <- "DeeDee object" + filename[count] <- sets[i, "name"] + contrast[count] <- names(res[[i]])[j] + genes[count] <- length(res[[i]][j] + [[contrast[count]]][["logFC"]]) + } + } + } + } + + df <- data.frame(filename, type, contrast, genes) + return(df) +} From 5d6d49eeadb5474f73a8756b30723dba74582019 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 11:15:41 +0100 Subject: [PATCH 010/182] further documenting data objects --- R/deedee-data.R | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/R/deedee-data.R b/R/deedee-data.R index 3e28001..749b874 100644 --- a/R/deedee-data.R +++ b/R/deedee-data.R @@ -81,3 +81,29 @@ NULL #' @name Salm_both #' @docType data NULL + + + + +#' dd_list_original +#' +#' A list of `deedee_prepare`d DE results. +#' +#' @details documented creation in ... script +#' +#' @name dd_list_original +#' @docType data +NULL + + + +#' del +#' +#' A named list of DE results, in their original format +#' to be used +#' +#' @details documented creation in ... script +#' +#' @name del +#' @docType data +NULL From a362d2bb357a8db90699da31e6a217a2af1af11a Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 11:43:20 +0100 Subject: [PATCH 011/182] core functionality for DeeDeeExperiment - constructor and some extra --- R/DeeDeeExperiment.R | 202 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 202 insertions(+) create mode 100644 R/DeeDeeExperiment.R diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R new file mode 100644 index 0000000..a35778e --- /dev/null +++ b/R/DeeDeeExperiment.R @@ -0,0 +1,202 @@ + +#' se: one SE object +#' de_results: a list of DE results, whatever format these are +#' will be handled by other function to split/convert/make uniform +#' has to have some names, otherwise will override with some defaults - ideally preferring names +#' +#' dde <- DeeDeeExperiment(se_macrophage, de_results = del) +#' +#' @param se ssss +#' @param de_results ssss +#' +#' @return tODO +#' @export +#' +#' @examples +#' # todo +DeeDeeExperiment <- function(se, de_results) { + if (!is(se, "RangedSummarizedExperiment")) { + if (is(se, "SummarizedExperiment")) { + se <- as(se, "RangedSummarizedExperiment") + } else { + stop("'se' must be a RangedSummarizedExperiment object") + } + } + + # TODO: does not have to relate to an SE which has all the slots and all + # ... + + + # TODO: additional checks + dde <- se + + # here is where I add the names in the rowData to make all info matched + # checks on the names + names(de_results) + # if not there, "force add" + # TODO + + dde_ids <- rownames(dde) + + dea_contrasts <- list() + + for (i in names(de_results)){ + this_de <- de_results[[i]] + + # do different things according to what these objects are + if(is(this_de, "DESeqResults")) { + matched_ids <- match(rownames(dde), dde_ids) + + # if not tested, add NA - everywhere? -> pre-fill? + rowData(dde)[[paste0(i,"_log2FoldChange")]] <- NA + rowData(dde)[[paste0(i,"_pvalue")]] <- NA + rowData(dde)[[paste0(i,"_padj")]] <- NA + + rowData(dde)[[paste0(i,"_log2FoldChange")]][matched_ids] <- this_de$log2FoldChange + rowData(dde)[[paste0(i,"_pvalue")]][matched_ids] <- this_de$pvalue + rowData(dde)[[paste0(i,"_padj")]][matched_ids] <- this_de$padj + + dea_contrasts[[i]] <- list( + alpha = metadata(this_de)$alpha, + lfcThreshold = metadata(this_de)$lfcThreshold, + metainfo_logFC = mcols(this_de)$description[colnames(this_de) == "log2FoldChange"], + metainfo_pvalue = mcols(this_de)$description[colnames(this_de) == "pvalue"], + original_object = this_de, + package = "DESeq2" + ) + } + } + + # rowData(dde)[["new_rd"]] <- de_name + + object <- new("DeeDeeExperiment", + dde, + dea = dea_contrasts + ) + + # stash the package version + metadata(object)[["version"]] <- packageVersion("DeeDee") + + return(object) +} + + + + + + +#' Title +#' +#' @param del todo +#' +#' @return todo +#' @export +#' +#' @examples +#' # todo +de_list_checker <- function(del) { + # check that all things are as expected/expectable +} + + + + +#' dde : the deedee exp object +#' dea: the named list, as for the main constructor +#' Title +#' +#' @param dde todo +#' @param dea todo +#' +#' @return todo +#' @export +#' +#' @examples +#' # todo +add_dea <- function(dde, dea) { + # dde must be a DeeDeeExp + # dea must be named list + + # check that names are all unique, and do not overlap with the existing ones + + # update rowData, naming them correctly + + # update the deslot + + # return the object +} + + +#' Title +#' +#' @param dde todo +#' @param dea_name todo +#' +#' @return todo +#' @export +#' +#' @examples +#' # todo +remove_dea <- function(dde, dea_name) { + +} + + + + + +#' Title +#' +#' @param dde TODO +#' @param dea_name TODO +#' +#' @return TODO +#' @export +#' +#' @examples +#' # TODO +get_dea <- function(dde, + dea_name) { + deas <- dea(dde) + dea_names <- names(deas) + + if (!(dea_name %in% dea_names)) { + stop("dea not found") + } + + rd_info <- paste0(dea_name, + c("_log2FoldChange", "_pvalue", "_padj")) + + if (! all(rd_info %in% colnames(rowData(dde)))) { + stop("Columns not found") + } + + out <- rowData(dde)[, rd_info] + + return(out) +} + + +#' this reminds the format of the DeeDee list object +#' +#' @param dde todo +#' +#' @return todo +#' @export +#' +#' @examples +#' # todo +get_deas_list<- function(dde) { + deas <- dea(dde) + dea_names <- names(deas) + + dea_list <- list() + + for (i in dea_names) { + dea_list[[i]] <- as.data.frame(get_dea(dde, i)) + colnames(dea_list[[i]]) <- c("log2FoldChange", "pvalue", "padj") + } + + return(dea_list) +} + From 0971fca1711bc874cc5f82412f1819eb2961c3ac Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 11:59:09 +0100 Subject: [PATCH 012/182] removed older internals --- R/input_infobox.R | 89 ----------------------------------------------- R/ora.R | 32 ----------------- R/rds_input.R | 67 ----------------------------------- R/xlsx_input.R | 35 ------------------- 4 files changed, 223 deletions(-) delete mode 100644 R/input_infobox.R delete mode 100644 R/ora.R delete mode 100644 R/rds_input.R delete mode 100644 R/xlsx_input.R diff --git a/R/input_infobox.R b/R/input_infobox.R deleted file mode 100644 index 5e54e62..0000000 --- a/R/input_infobox.R +++ /dev/null @@ -1,89 +0,0 @@ - -input_infobox <- function(deedee_obj, - sets, - md) { - - ext <- c() - filename <- c() - res <- list() - type <- c() - contrast <- c() - genes <- c() - count <- 0 - - if (!is.null(deedee_obj)) { - for (j in 1:length(deedee_obj@DeeDeeList)) { - count <- count + 1 - type[count] <- "DeeDee object" - filename[count] <- "input as argument" - contrast[count] <- names(deedee_obj@DeeDeeList)[j] - genes[count] <- length(deedee_obj@DeeDeeList[j] - [[contrast[count]]][["logFC"]]) - } - } - - # reading out input files - if (length(sets[, 1] > 0)) { - for (i in 1:(length(sets[, 1]))) { - ext[i] <- tools::file_ext(sets[i, "datapath"]) - - if (ext[[i]] == "rds" || ext[[i]] == "RDS") { - res[[i]] <- readRDS(sets[[i, "datapath"]]) - } else if (ext[[i]] == "xlsx") { - sheets <- readxl::excel_sheets(sets[[i, "datapath"]]) - res[[i]] <- lapply(sheets, - readxl::read_excel, - path = sets[[i, "datapath"]] - ) - names(res[[i]]) <- sheets - for (j in 1:length(sheets)) { - res[[i]][[sheets[j]]] <- as.data.frame(res[[i]][[sheets[j]]]) - res[[i]][[sheets[j]]] <- tibble::column_to_rownames( - res[[i]][[sheets[j]]], "rowname" - ) - } - } else if (ext[[i]] == "txt") { - temp <- utils::read.table(sets[[i, "datapath"]]) - res[[i]] <- list(temp) - names(res[[i]]) <- unlist(strsplit(sets[i, "name"], - split = ".", - fixed = TRUE - ))[1] - } - - if (class(res[[i]]) == "DESeqResults" || - class(res[[i]]) == "DGEExact" || - length(names(res[[i]])) == 6 || - class(res[[i]]) == "DeeDeeObject") { - count <- count + 1 - type[count] <- class(res[[i]]) - filename[count] <- sets[i, "name"] - contrast[count] <- unlist(strsplit(filename[count], - split = ".", - fixed = TRUE - ))[1] - genes[count] <- length(md@DeeDeeList - [[contrast[count]]][["logFC"]]) - } else { - if (class(res[[i]]) == "data.frame") { - res[[i]] <- list(res[[i]]) - names(res[[i]]) <- unlist(strsplit(sets[i, "name"], - split = ".", - fixed = TRUE - ))[1] - } - for (j in 1:length(res[[i]])) { - count <- count + 1 - type[count] <- "DeeDee object" - filename[count] <- sets[i, "name"] - contrast[count] <- names(res[[i]])[j] - genes[count] <- length(res[[i]][j] - [[contrast[count]]][["logFC"]]) - } - } - } - } - - df <- data.frame(filename, type, contrast, genes) - return(df) -} diff --git a/R/ora.R b/R/ora.R deleted file mode 100644 index 0979875..0000000 --- a/R/ora.R +++ /dev/null @@ -1,32 +0,0 @@ - -ora <- function(geneList, - universe, - orgDB, - key_type) { - - # ---------------------------- data preparation ----------------------------- - genes <- geneList[1] - genes <- row.names(genes) - genes <- genes[!is.na(genes)] - - universe[[1]] <- tibble::rownames_to_column(universe[[1]]) - universe[[2]] <- tibble::rownames_to_column(universe[[2]]) - univ <- dplyr::inner_join(universe[[1]], universe[[2]], by = "rowname") - univ <- univ[["rowname"]] - - # ---------------------------------- GSEA ----------------------------------- - res <- clusterProfiler::enrichGO( - gene = genes, - universe = univ, - OrgDb = get(orgDB), - ont = "BP", - keyType = key_type, - pAdjustMethod = "BH", - pvalueCutoff = 0.01, - qvalueCutoff = 0.05, - readable = TRUE - ) - - # --------------------------------- return ---------------------------------- - return(res) -} diff --git a/R/rds_input.R b/R/rds_input.R deleted file mode 100644 index 012ddfd..0000000 --- a/R/rds_input.R +++ /dev/null @@ -1,67 +0,0 @@ - -rds_input <- function(obj, - nm) { - - if (class(obj) == "DeeDeeObject") { - obj <- obj@DeeDeeList - } - if (class(obj) == "DESeqResults") { - obj <- deedee_prepare(obj, "DESeq2") - obj <- list(obj) - names(obj) <- unlist(strsplit(nm, - split = ".", - fixed = TRUE - ))[1] - } else if (class(obj) == "DGEExact") { - obj <- deedee_prepare(obj, "edgeR") - obj <- list(obj) - names(obj) <- unlist(strsplit(nm, - split = ".", - fixed = TRUE - ))[1] - } else if (class(obj) == "list") { - for (j in length(obj)) { - if (checkmate::test_subset( - names(obj[[j]]), - c("logFC", "pval") - ) == FALSE) { - return(NULL) - } - } - } else if (class(obj) == "data.frame") { - if (length(obj) == 2) { - if (checkmate::test_subset( - names(obj), - c("logFC", "pval") - ) == FALSE) { - return(NULL) - } - obj <- list(obj) - names(obj) <- unlist(strsplit(nm, - split = ".", - fixed = TRUE - ))[1] - } else if (length(obj) == 6) { - if (checkmate::test_subset(names(obj), c( - "logFC", - "AveExpr", - "t", - "P.Value", - "adj.P.Val", - "B" - )) == FALSE) { - return(NULL) - } - obj <- deedee_prepare(obj, "limma") - obj <- list(obj) - names(obj) <- unlist(strsplit(nm, - split = ".", - fixed = TRUE - ))[1] - } else { - return(NULL) - } - } - - return(obj) -} diff --git a/R/xlsx_input.R b/R/xlsx_input.R deleted file mode 100644 index 4cdc6d7..0000000 --- a/R/xlsx_input.R +++ /dev/null @@ -1,35 +0,0 @@ - -xlsx_input <- function(obj, - path, - nm) { - - if (length(obj) > 1) { - out <- lapply(obj, - readxl::read_excel, - path = path - ) - names(out) <- obj - for (j in 1:length(obj)) { - out[[obj[j]]] <- as.data.frame(out[[obj[j]]]) - out[[obj[j]]] <- tibble::column_to_rownames( - out[[obj[j]]], "rowname" - ) - if (checkmate::test_subset( - names(out[[j]]) == FALSE, - c("logFC", "pval") - )) { - return(NULL) - } - } - } else { - out <- readxl::read_excel(path = path) - out <- tibble::column_to_rownames(out, "rowname") - out <- list(out) - names(out) <- unlist(strsplit(nm, - split = ".", - fixed = TRUE - ))[1] - } - return(out) -} - From 1fadcbb5fa45a4454f985328e0c7df4c3dbfa36a Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 11:59:35 +0100 Subject: [PATCH 013/182] validity for the DeeDeeExperiment class --- R/validity.R | 36 ++++++++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) create mode 100644 R/validity.R diff --git a/R/validity.R b/R/validity.R new file mode 100644 index 0000000..38b4035 --- /dev/null +++ b/R/validity.R @@ -0,0 +1,36 @@ +validDeeDeeExperiment <- function(object) { + msg <- NULL + + if (!is(object@dea, "list")) { + msg <- c(msg, "'dea' must be a list") + } + + if (any(is.null(names(object@dea)))) { + msg <- c(msg, "'dea' must be a named list") + } + + dea_names <- names(object@dea) + + required_rowdata <- unlist( + lapply( + dea_names, function(arg) + c( + paste0(arg, "_log2FoldChange"), + paste0(arg, "_pvalue"), + paste0(arg, "_padj") + ) + ) + ) + if (!all(required_rowdata %in% colnames(rowData(object)))) { + msg <- c(msg, "some required columns were not found in the rowData") + } + + if (is.null(msg)) { + TRUE + } else msg + + +} + +setValidity("DeeDeeExperiment", validDeeDeeExperiment) + From 2e41c40afdfc3f57d35702a1ba1c3ae3b4e8fbaa Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 12:01:07 +0100 Subject: [PATCH 014/182] Adjusting some imports --- R/deedee-pkg.R | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/R/deedee-pkg.R b/R/deedee-pkg.R index 69cc19d..66e09bf 100644 --- a/R/deedee-pkg.R +++ b/R/deedee-pkg.R @@ -33,10 +33,16 @@ #' @importFrom shinycssloaders withSpinner #' @importFrom shinythemes shinytheme #' @importFrom stats approx complete.cases +#' @importClassesFrom SummarizedExperiment RangedSummarizedExperiment +#' @importFrom SummarizedExperiment rowData rowData<- mcols +#' rowData rowData<- #' @importFrom tibble column_to_rownames rownames_to_column #' @importFrom tools file_ext -#' @importFrom utils read.table +#' @importFrom utils read.table data packageVersion #' @importFrom viridis scale_color_viridis viridis +#' @importFrom S4Vectors metadata metadata<- +#' @importFrom rlang .data +#' @import methods #' #' @name DeeDee-pkg #' @docType package From 4e8caf478c58de97691ddd315ec8b9789c6d879a Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 12:02:33 +0100 Subject: [PATCH 015/182] removing older sources --- R/DeeDeeObject.R | 68 --- R/deedee_app.R | 1392 -------------------------------------------- R/deedee_cat.R | 130 ----- R/deedee_heatmap.R | 125 ---- R/deedee_prepare.R | 46 -- R/deedee_qq.R | 125 ---- R/deedee_qqmult.R | 84 --- R/deedee_scatter.R | 96 --- R/deedee_summary.R | 174 ------ R/deedee_upset.R | 161 ----- R/deedee_venn.R | 96 --- 11 files changed, 2497 deletions(-) delete mode 100644 R/DeeDeeObject.R delete mode 100644 R/deedee_app.R delete mode 100644 R/deedee_cat.R delete mode 100644 R/deedee_heatmap.R delete mode 100644 R/deedee_prepare.R delete mode 100644 R/deedee_qq.R delete mode 100644 R/deedee_qqmult.R delete mode 100644 R/deedee_scatter.R delete mode 100644 R/deedee_summary.R delete mode 100644 R/deedee_upset.R delete mode 100644 R/deedee_venn.R diff --git a/R/DeeDeeObject.R b/R/DeeDeeObject.R deleted file mode 100644 index f4c733b..0000000 --- a/R/DeeDeeObject.R +++ /dev/null @@ -1,68 +0,0 @@ -#' DeeDeeObject (S4 class) -#' -#' @slot DeeDeeList -#' -#' @description DeeDeeObject is the format that the DeeDee App works on. It -#' holds a slot for your list of DeeDee tables. More functionality -#' to come. -#' @export -#' -#' @examples -#' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' -#' data(DE_results_IFNg_both, package = "DeeDee") -#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' -#' data(DE_results_Salm_naive, package = "DeeDee") -#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' -#' data(DE_results_Salm_both, package = "DeeDee") -#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' -#' dd_list <- list( -#' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' Salm_naive = Salm_naive, Salm_both = Salm_both -#' ) -#' -#' # obj <- DeeDeeObject(DeeDeeList = dd_list) -#' - -DeeDeeObject <- setClass( - - "DeeDeeObject", - slots = c( - DeeDeeList = "list" - ), - prototype = list( - DeeDeeList = NULL - ), - validity = function(object) { - res <- object@DeeDeeList - if (class(res) != "list") { - return("DeeDeeList must be a list of DeeDee data.frames.") - } - for (i in 1:length(res)) { - if (class(res[[i]]) != "data.frame") { - return("DeeDeeList must be a list of DeeDee data.frames.") - } - if (checkmate::test_subset(names(res[[i]]), c("logFC", "pval")) == FALSE) { - return("DeeDeeList must be a list of DeeDee data.frames.") - } - if (class(res[[i]]$logFC) != "numeric") { - return("LogFC values must be a vector of type 'numeric'.") - } - if (class(res[[i]]$pval) != "numeric") { - return("P-values must be a vector of type 'numeric'.") - } - if (max(res[[i]]$pval) > 1) { - return("A p-value cannot be greater than 1.") - } - if (min(res[[i]]$pval) < 0) { - return("A p-value cannot be lower than 0.") - } - } - return(TRUE) - } -) diff --git a/R/deedee_app.R b/R/deedee_app.R deleted file mode 100644 index d6b9638..0000000 --- a/R/deedee_app.R +++ /dev/null @@ -1,1392 +0,0 @@ -#' DeeDee App -#' -#' @description `deedee_app` opens the DeeDee Shiny web application, combining -#' the functionalities of all other DeeDee functions with a user-friendly -#' graphical user interface. -#' -#' @param deedee_obj An object of the class DeeDeeObject to be analyzed. -#' -#' @return A shiny app -#' @export -#' -#' @examples -#' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' -#' data(DE_results_IFNg_both, package = "DeeDee") -#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' -#' data(DE_results_Salm_naive, package = "DeeDee") -#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' -#' data(DE_results_Salm_both, package = "DeeDee") -#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' -#' dd_list <- list( -#' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' Salm_naive = Salm_naive, Salm_both = Salm_both -#' ) -#' -#' if (interactive()) { -#' deedee_app(dd_list) -#' } -deedee_app <- function(deedee_obj = NULL) { - - # ---------------------------------------------------------------------------- - # --------------------------------- U I -------------------------------------- - # ---------------------------------------------------------------------------- - - deedee_ui <- shiny::navbarPage("DeeDee", - id = "tabs", - theme = shinythemes::shinytheme("flatly"), - - - # ----------------------------- data input --------------------------------- - shiny::tabPanel( - "Input", - shiny::fluidRow( - shiny::column( - 8, - shiny::fileInput("inp", "Upload your DEA results or DeeDee objects", - multiple = TRUE, - accept = c(".rds", ".txt", ".xlsx"), - placeholder = "No files selected" - ), - shiny::tableOutput("inp_infobox") - ), - shiny::column( - 4, - shiny::selectInput("organism", "Organism", - choices = list( - "Human" = "org.Hs.eg.db", - "Mouse" = "org.Mm.eg.db", - "Fly" = "org.Dm.eg.db", - "Rat" = "org.Rn.eg.db" - ) - ), - shiny::uiOutput("key_inp"), - shiny::uiOutput("datasets"), - shiny::conditionalPanel( - "output.inp_infobox", - shiny::downloadButton( - "inp_download", - "Download DeeDee object (.RDS)" - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "input.md", - package = "DeeDee" - )), - style = "primary" - ) - ), - - # shiny::downloadButton("vignette", - # "Download DeeDee Package vignette (.html)") - ), - - - # ------------------------------- scatter ---------------------------------- - shiny::tabPanel( - "Scatterplot", - shiny::fluidRow( - shiny::column( - 4, - shiny::uiOutput("scatter_choices1"), - shiny::uiOutput("scatter_choices2"), - shiny::selectInput("scatter_color_by", "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" - ), - shiny::numericInput("scatter_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ), - shiny::actionButton("ora_button", "Over-representation analysis") - ), - shiny::column( - 8, - shinycssloaders::withSpinner( - shiny::plotOutput("scatter", - # dblclick = "scatter_dblclick", - brush = shiny::brushOpts( - id = "scatter_brush", - resetOnNew = FALSE - ) - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "scatter.md", - package = "DeeDee" - )), - style = "primary" - ) - ), - shinyBS::bsModal( - id = "modalExample", - title = "Gene Ontology over-representation analysis", - trigger = "ora_button", - size = "large", - shinycssloaders::withSpinner(shiny::plotOutput("scatter_ora")), - shiny::downloadButton( - "ora_download", - "Download enrichment result object (.RDS)" - ) - ), - shiny::downloadButton( - "scatter_brush_download", - "Download brushed genes (.xlsx)" - ), - shiny::tableOutput("scatter_brush_info") - ), - - - # ------------------------------- heatmap ---------------------------------- - shiny::tabPanel( - "Heatmap", - id = "heatmap", - shiny::fluidRow( - shiny::column( - 4, - shiny::numericInput("heatmap_show_first", - "Show first", - value = 25, - min = 1 - ), - shiny::checkboxInput("heatmap_show_gene_names", - "Show gene names", - value = FALSE - ), - shiny::checkboxInput("heatmap_showNA", - "Show NA", - value = FALSE - ), - shiny::selectInput("heatmap_dist", "Distance measure", - choices = list( - "Euclidean" = "euclidean", - "Manhattan" = "manhattan", - "Pearson" = "pearson", - "Spearman" = "spearman" - ), - selected = "euclidean" - ), - shiny::selectInput("heatmap_clust", "Clustering method", - choices = list( - "Single" = "single", - "Complete" = "complete", - "Average" = "average", - "Centroid" = "centroid" - ), - selected = "average" - ), - shiny::numericInput("heatmap_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ), - shiny::actionButton("heatmap_action", "Create heatmap") - ), - shiny::column( - 8, - shiny::textOutput("heatmap_errors"), - shiny::conditionalPanel( - "output.heatmap_errors == ''", - shinycssloaders::withSpinner( - InteractiveComplexHeatmap:: - InteractiveComplexHeatmapOutput() - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "heatmap.md", - package = "DeeDee" - )), - style = "primary" - ) - ) - ), - - - # -------------------------------- venn ------------------------------------ - shiny::tabPanel( - "Venn Diagram", - shiny::fluidRow( - shiny::column( - 4, - shiny::selectInput("venn_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ), - shiny::numericInput("venn_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - 8, - shinycssloaders::withSpinner( - shiny::plotOutput("venn") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "venn.md", - package = "DeeDee" - )), - style = "primary" - ) - ) - ), - - - # -------------------------------- upSet ----------------------------------- - shiny::tabPanel( - "UpSet Plot", - shiny::fluidRow( - shiny::column( - 4, - shiny::selectInput("upset_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ), - shiny::conditionalPanel( - condition = "input.upset_mode == 'both'", - shiny::checkboxInput( - "upset_colored", - "Coloring", - TRUE - ) - ), - shiny::numericInput("upset_minset", "Minimum set size", - value = 10, min = 0, step = 1 - ), - shiny::numericInput("upset_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - 8, - shinycssloaders::withSpinner( - shiny::plotOutput("upset") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "upset.md", - package = "DeeDee" - )), - style = "primary" - ) - ) - ), - - - # --------------------------------- qq ------------------------------------- - shiny::tabPanel( - "Quantile-Quantile Plot", - shiny::fluidRow( - shiny::column( - 4, - shiny::checkboxInput("qq_multiple", "Multiple", value = FALSE), - shiny::conditionalPanel( - condition = "!input.qq_multiple", - shiny::uiOutput("qq_choices1"), - shiny::uiOutput("qq_choices2"), - shiny::selectInput("qq_color_by", "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" - ), - shiny::checkboxInput("qq_line", "As line", value = FALSE) - ), - shiny::conditionalPanel( - condition = "input.qq_multiple", - shiny::uiOutput("qq_ref"), - ), - shiny::numericInput("qq_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - 8, - shiny::conditionalPanel( - condition = "!input.qq_multiple", - shinycssloaders::withSpinner( - shiny::plotOutput("qq", - brush = "qq_brush" - ) - ) - ), - shiny::conditionalPanel( - condition = "input.qq_multiple", - shinycssloaders::withSpinner( - shiny::plotOutput("qq_mult") - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "qq.md", - package = "DeeDee" - )), - style = "primary" - ) - ), - shiny::conditionalPanel( - condition = "!input.qq_multiple", - shiny::downloadButton( - "qq_brush_download", - "Download brushed genes (.xlsx)" - ), - shiny::tableOutput("qq_brush_info") - ) - ), - - - # --------------------------------- cat ------------------------------------ - shiny::tabPanel( - "Concordance At the Top Plot", - shiny::fluidRow( - shiny::column( - 4, - shiny::selectInput("cat_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "up" - ), - shiny::numericInput("cat_maxrank", - "Max rank", - value = 1000, - min = 1 - ), - shiny::uiOutput("cat_choice"), - shiny::numericInput("cat_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - 8, - shinycssloaders::withSpinner( - shiny::plotOutput("cat") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "cat.md", - package = "DeeDee" - )), - style = "primary" - ) - ) - ), - - # ------------------------------- summary ---------------------------------- - shiny::tabPanel( - "Summary", - shiny::numericInput("sum_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ), - shiny::actionButton("sum_button", "Create Summary"), - shinyBS::bsModal( - id = "sum_modal", - title = "DeeDee Summary", - trigger = "sum_button", - size = "large", - shiny::fluidPage( - shiny::downloadButton( - "sum_download", - "Download your DeeDee Summary (.html)" - ), - shinycssloaders::withSpinner(shiny::uiOutput("show_html_summary")) - ) - ), - shiny::fluidRow( - shinydashboard::tabBox( - title = "", - width = 12, - id = "sum_params", - shiny::tabPanel( - "Scatterplot", - shiny::uiOutput("sum_scatter_choices1"), - shiny::uiOutput("sum_scatter_choices2"), - shiny::selectInput("sum_scatter_color_by", "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" - ) - ), - shiny::tabPanel( - "Heatmap", - shiny::numericInput("sum_heatmap_show_first", - "Show first", - value = 25, - min = 1 - ), - shiny::checkboxInput("sum_heatmap_show_gene_names", - "Show gene names", - value = FALSE - ), - shiny::checkboxInput("sum_heatmap_show_na", - "Show NA", - value = FALSE - ), - shiny::selectInput("sum_heatmap_dist", "Distance measure", - choices = list( - "Euclidean" = "euclidean", - "Manhattan" = "manhattan", - "Pearson" = "pearson", - "Spearman" = "spearman" - ), - selected = "euclidean" - ), - shiny::selectInput("sum_heatmap_clust", "Clustering method", - choices = list( - "Single" = "single", - "Complete" = "complete", - "Average" = "average", - "Centroid" = "centroid" - ), - selected = "average" - ) - ), - shiny::tabPanel( - "Venn Diagram", - shiny::selectInput("sum_venn_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ) - ), - shiny::tabPanel( - "UpSet Plot", - shiny::selectInput("sum_upset_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ), - shiny::conditionalPanel( - condition = "input.sum_upset_mode == 'both'", - shiny::checkboxInput( - "sum_upset_colored", - "Coloring", - TRUE - ) - ), - shiny::numericInput("sum_upset_min_setsize", "Minimum set size", - value = 10, min = 0, step = 1 - ) - ), - shiny::tabPanel( - "Quantile-Quantile Plot", - shiny::uiOutput("sum_qq_ref"), - ), - shiny::tabPanel( - "Concordance At the Top Plot", - shiny::selectInput("sum_cat_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "up" - ), - shiny::numericInput("sum_cat_maxrank", - "Max rank", - value = 1000, - min = 1 - ), - shiny::uiOutput("sum_cat_choice") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "summary.md", - package = "DeeDee" - )), - style = "primary" - ) - ) - ) - ) - - - - # ---------------------------------------------------------------------------- - # ----------------------------- S E R V E R ---------------------------------- - # ---------------------------------------------------------------------------- - - deedee_server <- function(input, output, session) { - - # ----------------------------- data input --------------------------------- - output$key_inp <- shiny::renderUI({ - shiny::req(input$organism) - anno <- input$organism - require(anno, character.only = TRUE) - shiny::selectInput("key_type", - "Key type of gene IDs", - choices = keytypes(get(anno)) - ) - }) - - mydata <- shiny::reactive({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - - ext <- c() - res <- list() - - if (!is.null(deedee_obj)) { - if (class(deedee_obj) == "DeeDeeObject") { - ext[1] <- "arg" - # df <- data.frame(filename, type, contrast, genes) - res[[1]] <- deedee_obj@DeeDeeList - } - else { - stop("Your argument input is not of type 'DeeDeeObject'. Please check your input and re-open the application.") - } - } - - k <- 0 - - # reading out input files - if (length(input$inp[, 1] > 0)) { - for (i in (length(ext) + 1):(length(input$inp[, 1]) + length(ext))) { - k <- k + 1 - ext[i] <- tools::file_ext(input$inp[k, "datapath"]) - shiny::validate(shiny::need( - ext[[i]] == "rds" || - ext[[i]] == "RDS" || - ext[[i]] == "xlsx" || - ext[[i]] == "txt", - "Please upload only .RDS, .xlsx or .txt files" - )) - - # .RDS input - if (ext[[i]] == "rds" || ext[[i]] == "RDS") { - res[[i]] <- readRDS(input$inp[[k, "datapath"]]) - res[[i]] <- rds_input(obj = res[[i]], - nm = input$inp[[k, "name"]]) - - # .xlsx input - } else if (ext[[i]] == "xlsx") { - sheets <- readxl::excel_sheets(input$inp[[k, "datapath"]]) - res[[i]] <- xlsx_input(obj = sheets, - path= input$inp[[k, "datapath"]], - nm = input$inp[k, "name"]) - - # .txt input - } else if (ext[[i]] == "txt") { - temp <- utils::read.table(input$inp[[k, "datapath"]]) - res[[i]] <- list(temp) - names(res[[i]]) <- unlist(strsplit(input$inp[k, "name"], - split = ".", - fixed = TRUE - ))[1] - } else { - return(NULL) - } - } - } - - # merging input data structures - dat <- list() - for (i in 1:length(res)) { - for (j in 1:length(res[[i]])) { - checkmate::assert_subset(names(res[[i]][[j]]), c("logFC", "pval")) - dat[[names(res[[i]])[[j]]]] <- res[[i]][[j]] - } - } - - obj <- DeeDeeObject(DeeDeeList = dat) - - return(obj) - }) - - output$datasets <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::checkboxGroupInput("select_datasets", - "Select datasets to be used", - choices = names(mydata()@DeeDeeList), - selected = names(mydata()@DeeDeeList) - ) - }) - - mydata_use <- shiny::reactive({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - use <- input$select_datasets - dat2 <- list() - for (i in use) { - dat2[i] <- mydata()@DeeDeeList[i] - } - return(dat2) - }) - - output$inp_download <- shiny::downloadHandler( - filename = "DeeDee_object.RDS", - content = function(file) { - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - dl <- DeeDeeObject(DeeDeeList = mydata_use()) - saveRDS(dl, file) - } - ) - - output$inp_infobox <- shiny::renderTable({ - shiny::validate(shiny::need( - !is.null(mydata()@DeeDeeList), - "Faulty input data provided." - )) - - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - - input_infobox(deedee_obj = deedee_obj, - sets = input$inp, - md = mydata()) - }) - - - # ------------------------------- scatter ---------------------------------- - # --- selectors --- - output$scatter_choices1 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("scatter_select1", - "1st data set", - choices = names(mydata_use()) - ) - }) - - output$scatter_choices2 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("scatter_select2", - "2nd data set", - selected = names(mydata_use())[2], - choices = names(mydata_use()) - ) - }) - - # --- plot output --- - ranges <- shiny::reactiveValues(x = NULL, y = NULL) - - output$scatter <- shiny::renderPlot({ - shiny::validate( - shiny::need( - length(mydata()@DeeDeeList) >= 2, - "Please upload at least two contrasts." - ) - ) - shiny::validate( - shiny::need( - length(mydata_use()) >= 2, - "Please select at least two contrasts." - ) - ) - - sel1 <- match(input$scatter_select1, names(mydata_use())) - sel2 <- match(input$scatter_select2, names(mydata_use())) - shiny::req(sel1) - shiny::req(sel2) - res <- deedee_scatter(mydata_use(), - select1 = sel1, - select2 = sel2, - color_by = input$scatter_color_by, - pthresh = input$scatter_pthresh - ) - shiny::validate( - shiny::need(!is.null(res), "No common genes in input datasets.") - ) - res + - ggplot2::coord_cartesian( - xlim = ranges$x, - ylim = ranges$y, - expand = FALSE - ) - }) - - # --- brushing --- - # scatter_download_button <- shiny::renderUI( - # conditionalPanel("output.scatter_brushed()", - # downloadButton("scatter_brush_download", - # "Download brushed genes (.txt)"))) - - scatter_brushed <- shiny::reactive({ - shiny::req(input$scatter_brush) - df <- data.frame( - x = mydata_use()[[input$scatter_select1]], - y = mydata_use()[[input$scatter_select2]] - ) - - df <- subset(df, x.pval < 0.05 & y.pval < 0.05) - - names(df) <- c( - paste(input$scatter_select1, ".logFC", sep = ""), - paste(input$scatter_select1, ".pval", sep = ""), - paste(input$scatter_select2, ".logFC", sep = ""), - paste(input$scatter_select2, ".pval", sep = "") - ) - shiny::brushedPoints(df, - input$scatter_brush, - xvar = paste(input$scatter_select1, ".logFC", sep = ""), - yvar = paste(input$scatter_select2, ".logFC", sep = "") - ) - }) - - output$scatter_brush_info <- shiny::renderTable( - { - shiny::req(scatter_brushed()) - scatter_brushed() - }, - rownames = TRUE - ) - - output$scatter_brush_download <- shiny::downloadHandler( - filename = "scatter_brushed_genes.xlsx", - content = function(file) { - shiny::req(input$scatter_brush) - bru <- tibble::rownames_to_column(scatter_brushed()) - first <- data.frame(bru[1], bru[2], bru[3]) - nm1 <- unlist(strsplit(names(first)[2], - split = ".", - fixed = TRUE - ))[1] - names(first) <- c("rowname", "logFC", "pval") - second <- data.frame(bru[1], bru[4], bru[5]) - nm2 <- unlist(strsplit(names(second)[2], - split = ".", - fixed = TRUE - ))[1] - names(second) <- c("rowname", "logFC", "pval") - l <- list(first, second) - names(l) <- c(nm1, nm2) - writexl::write_xlsx(l, file, col_names = TRUE) - } - ) - - # --- enrich --- - enrich <- shiny::reactive({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::validate(shiny::need( - scatter_brushed(), - "No brushed genes." - )) - sel1 <- match(input$scatter_select1, names(mydata_use())) - sel2 <- match(input$scatter_select2, names(mydata_use())) - shiny::req(sel1) - shiny::req(sel2) - data <- list(mydata_use()[[sel1]], mydata_use()[[sel2]]) - res <- ora( - geneList = scatter_brushed(), - universe = data, - orgDB = input$organism, - key_type = input$key_type - ) - shiny::validate(shiny::need( - class(res) == "enrichResult", - "Not working." - )) - - return(res) - }) - - output$scatter_ora <- shiny::renderPlot({ - shiny::validate(shiny::need( - !is.null(enrich()), - "Something went wrong..." - )) - en <- enrich() - en_df <- as.data.frame(en) - shiny::validate(shiny::need( - nrow(en_df) > 0, - "No enriched terms found." - )) - options(ggrepel.max.overlaps = Inf) - plt <- enrichplot::emapplot(enrichplot::pairwise_termsim(en)) - shiny::validate(shiny::need( - !is.null(plt), - "No enriched terms found." - )) - print(plt) - }) - - output$ora_download <- shiny::downloadHandler( - filename = "enrichment_results.RDS", - content = function(file) { - shiny::req(!is.null(enrich())) - saveRDS(enrich(), file) - } - ) - - # ------------------------------- heatmap ---------------------------------- - output$heatmap_errors <- shiny::renderText({ - shiny::validate( - shiny::need( - length(mydata()@DeeDeeList) >= 2, - "Please upload at least two contrasts." - ) - ) - shiny::validate( - shiny::need( - length(mydata_use()) >= 2, - "Please select at least two contrasts." - ) - ) - shiny::validate( - shiny::need( - !is.null(heatmap_output()), - "No common genes in input datasets." - ) - ) - "" - }) - - heatmap_output <- shiny::reactive({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::req(input$heatmap_show_first) - shiny::req(mydata_use()) - res <- deedee_heatmap(mydata_use(), - show_first = input$heatmap_show_first, - show_gene_names = input$heatmap_show_gene_names, - dist = input$heatmap_dist, - clust = input$heatmap_clust, - pthresh = input$heatmap_pthresh, - show_na = input$heatmap_showNA - ) - shiny::validate( - shiny::need(!is.null(res), "No common genes in input datasets.") - ) - - res <- ComplexHeatmap::draw(res) - - return(res) - }) - - listen <- shiny::reactive({ - list( - input$heatmap_show_first, - input$heatmap_show_gene_names, - input$heatmap_dist, - input$heatmap_clust, - input$heatmap_pthresh, - input$heatmap_showNA, - mydata_use() - ) - }) - - global <- reactiveValues(notify = FALSE) - - shiny::observeEvent(listen(), { - global$notify <- TRUE - }) - - shiny::observeEvent(input$tabs, { - if (input$tabs == "Heatmap") { - if (global$notify == TRUE) { - shiny::showNotification("Something changed. Click 'Create heatmap' to reload.", - duration = NULL, - type = "warning", - id = "heatmap_warning" - ) - } - } else { - shiny::removeNotification("heatmap_warning") - } - }) - - shiny::observeEvent(listen(), { - req(input$tabs == "Heatmap") - shiny::showNotification("Something changed. Click 'Create heatmap' to reload.", - duration = NULL, - type = "warning", - id = "heatmap_warning" - ) - }) - - shiny::observeEvent(input$heatmap_action, { - shiny::req(length(mydata_use()) >= 2) - global$notify <- FALSE - InteractiveComplexHeatmap::makeInteractiveComplexHeatmap( - input, - output, - session, - heatmap_output() - ) - shiny::removeNotification("heatmap_warning") - }) - - - # -------------------------------- venn ------------------------------------ - output$venn <- shiny::renderPlot({ - shiny::validate( - shiny::need( - length(mydata()@DeeDeeList) >= 2, - "Please upload at least two contrasts." - ) - ) - shiny::validate( - shiny::need( - length(mydata_use()) >= 2, - "Please select at least two contrasts." - ) - ) - - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - res <- deedee_venn(mydata_use(), - mode = input$venn_mode, - pthresh = input$venn_pthresh - ) - - shiny::validate( - shiny::need( - !is.null(res), - "No genes in your datasets. Maybe your specified p-value threshold is too low?" - ) - ) - - res - }) - - - # -------------------------------- upset ----------------------------------- - output$upset <- shiny::renderPlot({ - shiny::validate( - shiny::need( - length(mydata()@DeeDeeList) >= 2, - "Please upload at least two contrasts." - ) - ) - shiny::validate( - shiny::need( - length(mydata_use()) >= 2, - "Please select at least two contrasts." - ) - ) - - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - if (input$upset_mode == "both" && input$upset_colored) { - mode <- "both_colored" - } else { - mode <- input$upset_mode - } - res <- deedee_upset(mydata_use(), - mode = mode, - pthresh = input$upset_pthresh, - min_setsize = input$upset_minset - ) - - shiny::validate( - shiny::need( - !is.null(res), - "No genes in your datasets. Maybe your specified p-value threshold is too low?" - ) - ) - res - }) - - - # --------------------------------- qq ------------------------------------- - output$qq_choices1 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("qq_select1", - "1st data set", - choices = names(mydata_use()) - ) - }) - - output$qq_choices2 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("qq_select2", - "2nd data set", - selected = names(mydata_use())[2], - choices = names(mydata_use()) - ) - }) - - output$qq_ref <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("qq_reference", - "Reference", - choices = names(mydata_use()) - ) - }) - - output$qq <- shiny::renderPlot({ - shiny::validate( - shiny::need( - length(mydata()@DeeDeeList) >= 2, - "Please upload at least two contrasts." - ) - ) - shiny::validate( - shiny::need( - length(mydata_use()) >= 2, - "Please select at least two contrasts." - ) - ) - - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - sel1 <- match(input$qq_select1, names(mydata_use())) - sel2 <- match(input$qq_select2, names(mydata_use())) - shiny::req(sel1) - shiny::req(sel2) - res <- deedee_qq(mydata_use(), - select1 = sel1, - select2 = sel2, - color_by = input$qq_color_by, - pthresh = input$qq_pthresh, - as_line = input$qq_line - ) - - shiny::validate( - shiny::need( - !is.null(res), - "No genes in your datasets. Maybe your specified p-value threshold is too low?" - ) - ) - - res - }) - - output$qq_mult <- shiny::renderPlot({ - shiny::validate( - shiny::need( - length(mydata()@DeeDeeList) >= 2, - "Please upload at least two contrasts." - ) - ) - shiny::validate( - shiny::need( - length(mydata_use()) >= 2, - "Please select at least two contrasts." - ) - ) - - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - ref <- match(input$qq_reference, names(mydata_use())) - shiny::req(ref) - res <- deedee_qqmult(mydata_use(), - ref = ref, - pthresh = input$qq_pthresh - ) - - shiny::validate( - shiny::need( - !is.null(res), - "No genes in your datasets. Maybe your specified p-value threshold is too low?" - ) - ) - - res - }) - - qq_brushed <- shiny::reactive({ - shiny::req(input$qq_brush) - x <- mydata()@DeeDeeList[[input$qq_select1]]$logFC - y <- mydata()@DeeDeeList[[input$qq_select2]]$logFC - pval1 <- mydata()@DeeDeeList[[input$qq_select2]]$pval - pval2 <- mydata()@DeeDeeList[[input$qq_select2]]$pval - names(x) <- row.names(mydata()@DeeDeeList[[input$qq_select2]]) - names(y) <- row.names(mydata()@DeeDeeList[[input$qq_select2]]) - - sx_idx <- order(x) - sy_idx <- order(y) - - sx <- x[sx_idx] - sy <- y[sy_idx] - pval1 <- pval1[sx_idx] - pval2 <- pval2[sy_idx] - - lenx <- length(sx) - leny <- length(sy) - - if (leny < lenx) { - sx <- stats::approx(1L:lenx, sx, n = leny)$y - pval1 <- stats::approx(1L:lenx, pval1, n = leny)$y - } - if (leny > lenx) { - sy <- stats::approx(1L:leny, sy, n = lenx)$y - pval2 <- stats::approx(1L:leny, pval2, n = lenx)$y - } - - sx <- tibble::rownames_to_column(as.data.frame(sx)) - sx[3] <- pval1 - sy <- tibble::rownames_to_column(as.data.frame(sy)) - sy[3] <- pval2 - - qq <- data.frame( - x = sx, - y = sy - ) - - names(qq) <- c( - paste(input$qq_select1, "gene", sep = "."), - paste(input$qq_select1, "logFC", sep = "."), - paste(input$qq_select1, "pval", sep = "."), - paste(input$qq_select2, "gene", sep = "."), - paste(input$qq_select2, "logFC", sep = "."), - paste(input$qq_select2, "pval", sep = ".") - ) - - temp1 <- paste(input$qq_select1, "logFC", sep = ".") - temp2 <- paste(input$qq_select2, "logFC", sep = ".") - - shiny::brushedPoints(qq, - input$qq_brush, - xvar = temp1, - yvar = temp2 - ) - }) - - output$qq_brush_info <- shiny::renderTable( - { - shiny::req(qq_brushed()) - qq_brushed() - }, - rownames = FALSE - ) - - output$qq_brush_download <- shiny::downloadHandler( - filename = "qq_brushed_genes.xlsx", - content = function(file) { - shiny::req(input$qq_brush) - bru <- qq_brushed() - first <- data.frame(bru[1], bru[2], bru[3]) - nm1 <- unlist(strsplit(names(first)[2], - split = ".", - fixed = TRUE - ))[1] - names(first) <- c("rowname", "logFC", "pval") - second <- data.frame(bru[4], bru[5], bru[6]) - nm2 <- unlist(strsplit(names(second)[2], - split = ".", - fixed = TRUE - ))[1] - names(second) <- c("rowname", "logFC", "pval") - l <- list(first, second) - names(l) <- c(nm1, nm2) - writexl::write_xlsx(l, file, col_names = TRUE) - } - ) - - - # --------------------------------- cat ------------------------------------ - output$cat_choice <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("cat_ref", - "Reference contrast", - selected = names(mydata_use())[1], - choices = names(mydata_use()) - ) - }) - - output$cat <- shiny::renderPlot({ - shiny::validate( - shiny::need( - length(mydata()@DeeDeeList) >= 2, - "Please upload at least two contrasts." - ) - ) - shiny::validate( - shiny::need( - length(mydata_use()) >= 2, - "Please select at least two contrasts." - ) - ) - - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::req(input$cat_maxrank) - shiny::req(input$cat_ref) - - ref <- match(input$cat_ref, names(mydata_use())) - res <- deedee_cat(mydata_use(), - ref = ref, - maxrank = input$cat_maxrank, - mode = input$cat_mode, - pthresh = input$cat_pthresh - ) - - shiny::validate( - shiny::need( - !is.null(res), - "No genes in your datasets. Maybe your specified p-value threshold is too low?" - ) - ) - - res - }) - - # ------------------------------- summary ---------------------------------- - output$sum_scatter_choices1 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("sum_scatter_select1", - "1st data set", - choices = names(mydata_use()) - ) - }) - - output$sum_scatter_choices2 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("sum_scatter_select2", - "2nd data set", - selected = names(mydata_use())[2], - choices = names(mydata_use()) - ) - }) - - output$sum_qq_ref <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("sum_qqmult_ref", - "Reference", - selected = names(mydata_use())[1], - choices = names(mydata_use()) - ) - }) - - output$sum_cat_choice <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("sum_cat_ref", - "Reference contrast", - selected = names(mydata_use())[1], - choices = names(mydata_use()) - ) - }) - - summary <- reactive({ - shiny::validate( - shiny::need( - length(mydata()@DeeDeeList) >= 2, - "Please upload at least two contrasts." - ) - ) - shiny::validate( - shiny::need( - length(mydata_use()) >= 2, - "Please select at least two contrasts." - ) - ) - - shiny::req(mydata_use()) - - outfile <- tempfile(fileext = ".html") - - sc_sel1 <- match(input$sum_scatter_select1, names(mydata_use())) - if (is.null(sc_sel1)) { - sc_sel1 <- 1 - } - sc_sel2 <- match(input$sum_scatter_select2, names(mydata_use())) - if (is.null(sc_sel2)) { - sc_sel2 <- 2 - } - - qq_ref <- match(input$sum_qqmult_ref, names(mydata_use())) - if (length(qq_ref) == 0) { - qq_ref <- 1 - } - - cat_ref <- match(input$sum_cat_ref, names(mydata_use())) - if (length(cat_ref) == 0) { - cat_ref <- 1 - } - - if (input$sum_upset_mode == "both" && input$sum_upset_colored) { - ups_mode <- "both_colored" - } else { - ups_mode <- input$sum_upset_mode - } - - shiny::req(sc_sel1) - shiny::req(sc_sel2) - shiny::req(qq_ref) - shiny::req(cat_ref) - - deedee_summary(mydata_use(), - output_path = outfile, - overwrite = TRUE, - pthresh = input$sum_pthresh, - scatter_select1 = sc_sel1, - scatter_select2 = sc_sel2, - scatter_color_by = input$sum_scatter_color_by, - heatmap_show_first = input$sum_heatmap_show_first, - heatmap_show_gene_names = input$sum_heatmap_show_gene_names, - heatmap_dist = input$sum_heatmap_dist, - heatmap_clust = input$sum_heatmap_clust, - heatmap_show_na = input$sum_heatmap_show_na, - venn_mode = input$sum_venn_mode, - upset_mode = ups_mode, - upset_min_setsize = input$sum_upset_min_setsize, - qqmult_ref = qq_ref, - cat_ref = cat_ref, - cat_maxrank = input$sum_cat_maxrank, - cat_mode = input$sum_cat_mode, - silent = TRUE, - open_file = FALSE - ) - - return(outfile) - }) - - output$sum_download <- shiny::downloadHandler( - filename = "DeeDee_Summary.html", - content = function(file) { - shiny::req(summary()) - - file.copy(summary(), file) - } - ) - - output$show_html_summary <- shiny::renderUI({ - shiny::req(summary()) - - out <- tempfile(fileext = ".html") - - xml2::write_html(rvest::html_node(xml2::read_html(summary()), "body"), - file = out - ) - - shiny::includeHTML(path = out) - }) - } - - - # ------------------------------ run application ------------------------------- - shiny::shinyOptions(deedee_obj = deedee_obj) - shiny::shinyApp(ui = deedee_ui, server = deedee_server) -} diff --git a/R/deedee_cat.R b/R/deedee_cat.R deleted file mode 100644 index 2f03ac2..0000000 --- a/R/deedee_cat.R +++ /dev/null @@ -1,130 +0,0 @@ -#' DeeDee Concordance At the Top Plot -#' -#' @description `deedee_cat` creates a Concordance at the Top plot depicting -#' the concordance of genes in the first n elements of the logFC-ranked lists -#' for the given (non-reference) input contrasts against a chosen reference -#' contrast from the input list. -#' -#' @param data named list of results from deedee_prepare() -#' @param ref index of the contrast in data to be used as reference contrast -#' (default = 1) -#' @param mode sort by highest logFC (`up`, default), lowest logFC (`down`) or -#' greatest deviation from zero (`both`) -#' @param maxrank highest rank that should be displayed (default = 1000) -#' @param pthresh threshold for p-values to be in-/excluded (default = 0.05) -#' -#' @return ggplot object (plottable with show()/print()) -#' -#' @examples -#' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' -#' data(DE_results_IFNg_both, package = "DeeDee") -#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' -#' data(DE_results_Salm_naive, package = "DeeDee") -#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' -#' data(DE_results_Salm_both, package = "DeeDee") -#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' -#' dd_list <- list( -#' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' Salm_naive = Salm_naive, Salm_both = Salm_both -#' ) -#' -#' deedee_cat(dd_list, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) -#' @export -#' - -deedee_cat <- function(data, - ref = 1, - maxrank = 1000, - mode = "up", - pthresh = 0.05) { - - # ----------------------------- argument check ------------------------------ - checkmate::assert_list(data, type = "data.frame", min.len = 2) - for (i in 1:length(data)) { - checkmate::assert_data_frame(data[[i]], type = "numeric") - } - checkmate::assert_number(ref, lower = 1, upper = length(data)) - checkmate::assert_number(pthresh, lower = 0, upper = 1) - checkmate::assert_number(maxrank, lower = 1) - choices <- c("up", "down", "both") - checkmate::assert_choice(mode, choices) - - # ---------------------------- data preparation ----------------------------- - for (i in 1:length(data)) { - data[i][[1]] <- subset( - data[i][[1]], - data[i][[1]]$pval < pthresh - ) - - if (length(data[i][[1]][[1]]) == 0) { - return(NULL) - } - - data[i][[1]] <- data[i][[1]]["logFC"] # remove p-value column - colnames(data[i][[1]]) <- c(paste("logFC", i, sep = "")) - data[i][[1]] <- as.matrix(data[i][[1]]) # conversion to matrix - names <- rownames(data[i][[1]]) - data[i][[1]] <- as.vector(data[i][[1]]) # conversion to vector - names(data[i][[1]]) <- names - if (mode == "up") { - data[i][[1]] <- sort(data[i][[1]], decreasing = TRUE) - } else if (mode == "down") { - data[i][[1]] <- sort(data[i][[1]], decreasing = FALSE) - } else if (mode == "both") { - data[i][[1]] <- abs(data[i][[1]]) - data[i][[1]] <- sort(data[i][[1]], decreasing = TRUE) - } - - data[i][[1]] <- names(data[i][[1]]) - } - - # ----------------------- calculation of concordance ------------------------ - output <- list() - nm <- c() - - for (i in 1:length(data)) { - if (i != ref) { - output[[i]] <- data.frame( - rank = 1:min(maxrank, length(data[i][[1]])), - concordance = NA - ) - - for (j in 1:nrow(output[[i]])) { - intsec <- intersect(data[ref][[1]][1:j], data[i][[1]][1:j]) - output[[i]][[j, "concordance"]] <- length(intsec) / j - } - nm[[i]] <- names(data[i]) - } - } - - names(output) <- nm - - # ------------------- creation of the resulting CAT plot -------------------- - res <- ggplot2::ggplot( - dplyr::bind_rows(output, .id = "contrast"), - ggplot2::aes_string("rank", "concordance", colour = "contrast") - ) + - ggplot2::geom_line() + - ggplot2::theme_light() + - viridis::scale_color_viridis( - option = "magma", discrete = TRUE, - begin = 0, end = 0.9 - ) + - ggplot2::annotate("text", - label = paste("reference: ", - names(data)[ref], - sep = "" - ), - x = maxrank * 0.8, - y = max(output[[i]][["concordance"]]) * 1.1 - ) - - # --------------------------------- return ---------------------------------- - return(res) -} diff --git a/R/deedee_heatmap.R b/R/deedee_heatmap.R deleted file mode 100644 index 9a13544..0000000 --- a/R/deedee_heatmap.R +++ /dev/null @@ -1,125 +0,0 @@ -#' @title DeeDee Heatmap -#' -#' @description `deedee_heatmap` creates a heatmap depicting the logFC as a -#' measure of the differential expression of the first genes in the given -#' datasets. -#' -#' @param data named list of results from deedee_prepare() -#' @param show_first indicating the number of genes depicted (default = 25) -#' @param show_gene_names boolean, show row names next to heatmap -#' (default = FALSE) -#' @param dist select the distance measure (`euclidean`, `manhattan`, `pearson`, -#' `spearman`) -#' @param clust select the clustering method (`single`, `complete`, `average`, -#' `centroid`) -#' @param show_na boolean, include genes with NA values in heatmap -#' (default = FALSE) -#' @param pthresh threshold for p-values to be in-/excluded (default = 0.05) -#' -#' @return Heatmap object (plottable with show()/print()). The resulting heatmap -#' (`res`) can be opened in a Shiny App with interactive functionality by -#' running the command `ht_shiny(res)` (see package `InteractiveComplexHeatmap`). -#' -#' @examples -#' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' -#' data(DE_results_IFNg_both, package = "DeeDee") -#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' -#' data(DE_results_Salm_naive, package = "DeeDee") -#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' -#' data(DE_results_Salm_both, package = "DeeDee") -#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' -#' dd_list <- list( -#' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' Salm_naive = Salm_naive, Salm_both = Salm_both -#' ) -#' -#' deedee_heatmap(dd_list, -#' pthresh = 0.05, show_first = 25, -#' show_gene_names = FALSE, dist = "euclidean", -#' clust = "average", show_na = FALSE -#' ) -#' @export -#' - -deedee_heatmap <- function(data, - show_first = 25, - show_gene_names = FALSE, - dist = "euclidean", - clust = "average", - show_na = FALSE, - pthresh = 0.05) { - - # ----------------------------- argument check ------------------------------ - checkmate::assert_list(data, type = "data.frame", min.len = 2) - for (i in 1:length(data)) { - checkmate::assert_data_frame(data[[i]], type = "numeric") - } - checkmate::assert_number(pthresh, lower = 0, upper = 1) - checkmate::assert_number(show_first, lower = 1) - checkmate::assert_logical(show_gene_names) - choices1 <- c("euclidean", "manhattan", "pearson", "spearman") - checkmate::assert_choice(dist, choices1) - choices2 <- c("single", "complete", "average", "centroid") - checkmate::assert_choice(clust, choices2) - checkmate::assert_logical(show_na) - - # ---------------------------- data preparation ----------------------------- - for (i in 1:length(data)) { - data[i][[1]] <- subset(data[i][[1]], data[i][[1]]$pval < pthresh) # pthresh - data[i][[1]] <- data[i][[1]]["logFC"] # removing p-value column - colnames(data[i][[1]]) <- names(data)[i] # creating unique colnames - data[i][[1]] <- tibble::rownames_to_column(data[i][[1]]) - } - - # ----- creation of a comp matrix with the modified results from above ------ - comp <- dplyr::full_join(data[1][[1]], - data[2][[1]], - by = "rowname", - copy = FALSE - ) - if (length(data) > 2) { - for (i in 3:length(data)) { - comp <- dplyr::full_join(comp, data[i][[1]], by = "rowname", copy = FALSE) - } - } - - row.names(comp) <- comp$rowname - comp <- subset(comp, select = -c(rowname)) # removing column with rownames - comp <- comp[rowSums(!is.na(comp)) >= floor(length(comp) / 2) + 1, ] - if (show_na == FALSE) { - comp <- comp[stats::complete.cases(comp[colnames(comp)]), ] - } - comp <- as.matrix(comp) - - if (length(comp[, 1]) == 0) { - return(NULL) - } - - # ------------------- creation of the resulting heatmap --------------------- - if (show_gene_names == FALSE) { - rownames(comp) <- c() - } - - col <- viridis::viridis(n = 15, option = "magma") - - res <- ComplexHeatmap::Heatmap(comp[1:min( - show_first, - length(comp[, 1]) - ), ], - name = "logFC", - col = col, - clustering_distance_rows = dist, - clustering_method_rows = clust - ) - - # ComplexHeatmap::draw(res) - - # --------------------------------- return ---------------------------------- - return(res) -} diff --git a/R/deedee_prepare.R b/R/deedee_prepare.R deleted file mode 100644 index 0bd7591..0000000 --- a/R/deedee_prepare.R +++ /dev/null @@ -1,46 +0,0 @@ -#' DeeDee Prepare -#' -#' @description `deedee_prepare` creates a DeeDee table from a DEA result -#' -#' @param data result from DESeq2, limma or edgeR -#' @param input_type the program the data comes from (`DESeq2`, `limma` or -#' `edgeR`) -#' -#' @return DeeDee table, to be used as part of the input for the other DeeDee -#' functions -#' -#' @examples -#' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' -#' deedee_table <- deedee_prepare(IFNg_naive, "DESeq2") -#' @export -#' - -deedee_prepare <- function(data, input_type) { - - # ----------------------------- argument check ------------------------------ - choices <- c("DESeq2", "edgeR", "limma") - checkmate::assertChoice(input_type, choices) - - if (input_type == "DESeq2") { - checkmate::assertClass(data, "DESeqResults") - logFC <- data$log2FoldChange - pval <- data$padj - input <- data.frame(logFC, pval) - rownames(input) <- data@rownames - } else if (input_type == "edgeR") { - checkmate::assertClass(data, "DGEExact") - logFC <- data[["table"]][["logFC"]] - pval <- data[["table"]][["PValue"]] - input <- data.frame(logFC, pval) - rownames(input) <- data[["genes"]][["genes"]] - } else if (input_type == "limma") { - checkmate::assertDataFrame(data, types = "numeric") - logFC <- data$logFC - pval <- data$adj.P.Val - input <- data.frame(logFC, pval) - rownames(input) <- rownames(data) - } - return(input) -} diff --git a/R/deedee_qq.R b/R/deedee_qq.R deleted file mode 100644 index 34208ea..0000000 --- a/R/deedee_qq.R +++ /dev/null @@ -1,125 +0,0 @@ -#' DeeDee QQ Plot -#' -#' @description `deedee_qq` creates a Q-Q-plot comparing the statistical -#' distribution of the logFC of the genes in two input datasets. To compare more -#' than two contrasts against a reference, have a look at `deedee_qqmult`. -#' -#' @param data named list of results from deedee_prepare() -#' @param select1 index of first data-list element to be used (default = 1) -#' @param select2 index of second data-list element to be used (default = 2) -#' @param color_by indicates which set of values the output should be colored by -#' (possible values = `pval1` (default), `pval2`) -#' @param as_line logical value specifying if the resulting plot should be a -#' line (TRUE) or points (FALSE, default) -#' @param pthresh threshold for p-values to be in-/excluded (default = 0.05) -#' -#' @return ggplot object (plottable with show()/print()) -#' -#' @examples -#' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' -#' data(DE_results_IFNg_both, package = "DeeDee") -#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' -#' data(DE_results_Salm_naive, package = "DeeDee") -#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' -#' data(DE_results_Salm_both, package = "DeeDee") -#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' -#' dd_list <- list( -#' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' Salm_naive = Salm_naive, Salm_both = Salm_both -#' ) -#' -#' deedee_qq(dd_list, pthresh = 0.05, select = 1, select2 = 2, color_by = "pval1") -#' @export -#' - -deedee_qq <- function(data, - select1 = 1, - select2 = 2, - color_by = "pval1", - as_line = FALSE, - pthresh = 0.05) { - - # ----------------------------- argument check ------------------------------ - checkmate::assert_list(data, type = "data.frame", min.len = 2) - for (i in 1:length(data)) { - checkmate::assert_data_frame(data[[i]], type = "numeric") - } - checkmate::assert_number(pthresh, lower = 0, upper = 1) - checkmate::assert_number(select1, lower = 1, upper = length(data)) - checkmate::assert_number(select2, lower = 1, upper = length(data)) - choices <- c("pval1", "pval2") - checkmate::assert_choice(color_by, choices) - - # ---------------------------- data preparation ----------------------------- - data_red <- list(data[[select1]], data[[select2]]) - - for (i in 1:length(data_red)) { - colnames(data_red[i][[1]]) <- c( - paste("logFC", i, sep = ""), - paste("pval", i, sep = "") - ) - } - - # ------------------- creation of the resulting qq plot --------------------- - x <- data_red[1][[1]]$logFC - y <- data_red[2][[1]]$logFC - pval1 <- data_red[1][[1]]$pval - pval2 <- data_red[2][[1]]$pval - names(x) <- row.names(data_red[1][[1]]) - names(y) <- row.names(data_red[2][[1]]) - - sx_idx <- order(x) - sy_idx <- order(y) - - sx <- x[sx_idx] - sy <- y[sy_idx] - pval1 <- pval1[sx_idx] - pval2 <- pval2[sy_idx] - - lenx <- length(sx) - leny <- length(sy) - - if (leny < lenx) { - sx <- stats::approx(1L:lenx, sx, n = leny)$y - pval1 <- stats::approx(1L:lenx, pval1, n = leny)$y - } - if (leny > lenx) { - sy <- stats::approx(1L:leny, sy, n = lenx)$y - pval2 <- stats::approx(1L:leny, pval2, n = lenx)$y - } - - qq <- data.frame(x = sx, y = sy, pval1 = pval1, pval2 = pval2) - - qq_f <- qq[qq$pval1 <= pthresh | qq$pval2 <= pthresh, ] - - if (length(qq_f[[1]]) == 0 || length(qq_f[[2]]) == 0) { - return(NULL) - } - - if (as_line == FALSE) { - res <- ggplot2::ggplot(qq_f, ggplot2::aes(x, y, col = -log10(get(color_by)))) + - ggplot2::geom_point() + - viridis::scale_color_viridis(option = "magma") + - ggplot2::xlab(names(data)[select1]) + - ggplot2::ylab(names(data)[select2]) + - ggplot2::labs(color = paste("-log10(", color_by, ")", sep = "")) + - ggplot2::theme_light() - } else { - res <- ggplot2::ggplot(qq_f, ggplot2::aes(x, y, col = -log10(get(color_by)))) + - ggplot2::geom_line() + - viridis::scale_color_viridis(option = "magma") + - ggplot2::xlab(names(data)[select1]) + - ggplot2::ylab(names(data)[select2]) + - ggplot2::labs(color = paste("-log10(", color_by, ")", sep = "")) + - ggplot2::theme_light() - } - - # --------------------------------- return ---------------------------------- - return(res) -} diff --git a/R/deedee_qqmult.R b/R/deedee_qqmult.R deleted file mode 100644 index 320e3b0..0000000 --- a/R/deedee_qqmult.R +++ /dev/null @@ -1,84 +0,0 @@ -#' DeeDee QQ Plot with Multiple Contrasts -#' -#' @description `deedee_qqmult` creates a plot containing Q-Q-lines comparing -#' the statistical distribution of the logFC of the genes in each input datasets -#' to a contrast chosen from the input data. For a Q-Q plot comparing two -#' contrasts in a p-value-colored manner, have a look at `deedee_qq`. -#' -#' @param data named list of results from deedee_prepare() -#' @param ref index of the contrast in data to be used as reference contrast -#' (default = 1) -#' @param pthresh threshold for p-values to be in-/excluded (default = 0.05) -#' -#' @return ggplot object (plottable with show()/print()) -#' -#' @examples -#' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' -#' data(DE_results_IFNg_both, package = "DeeDee") -#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' -#' data(DE_results_Salm_naive, package = "DeeDee") -#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' -#' data(DE_results_Salm_both, package = "DeeDee") -#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' -#' dd_list <- list( -#' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' Salm_naive = Salm_naive, Salm_both = Salm_both -#' ) -#' -#' deedee_qqmult(dd_list, pthresh = 0.05, ref = 1) -#' @export -#' - -deedee_qqmult <- function(data, - ref = 1, - pthresh = 0.05) { - - # ----------------------------- argument check ------------------------------ - checkmate::assert_list(data, type = "data.frame", min.len = 2) - for (i in 1:length(data)) { - checkmate::assert_data_frame(data[[i]], type = "numeric") - } - checkmate::assert_number(pthresh, lower = 0, upper = 1) - checkmate::assert_number(ref, lower = 1, upper = length(data)) - - # ------------------- creation of the resulting qq plot --------------------- - output <- list() - nm <- c() - - for (i in 1:length(data)) { - if (i != ref) { - output[[i]] <- data.frame(ggplot2::ggplot_build(deedee_qq( - data = data, - select1 = ref, - select2 = i, - as_line = TRUE - ))$plot$data) - nm[[i]] <- names(data[i]) - } - } - - names(output) <- nm - - res <- ggplot2::ggplot( - dplyr::bind_rows(output, .id = "contrast"), - ggplot2::aes_string("x", "y", colour = "contrast") - ) + - ggplot2::xlab(names(data)[ref]) + - ggplot2::ylab("see legend") + - ggplot2::geom_line() + - ggplot2::theme_light() + - viridis::scale_color_viridis( - option = "magma", discrete = TRUE, - begin = 0, end = 0.9 - ) - - - # --------------------------------- return ---------------------------------- - return(res) -} diff --git a/R/deedee_scatter.R b/R/deedee_scatter.R deleted file mode 100644 index bb55ba6..0000000 --- a/R/deedee_scatter.R +++ /dev/null @@ -1,96 +0,0 @@ -#' DeeDee logFC Scatter Plot -#' -#' @description `deedee_scatter` creates a scatterplot of the genes in two input -#' datasets based on their logFC values. -#' -#' @param data named list of results from deedee_prepare() -#' @param select1 index of first data-list element to be used (default = 1) -#' @param select2 index of second data-list element to be used (default = 2) -#' @param color_by indicates which set of values the output should be colored by -#' (possible values = `pval1` (default), `pval2`) -#' @param pthresh threshold for p-values to be in-/excluded (default = 0.05) -#' -#' @return ggplot object (plottable with show()/print()) -#' -#' @examples -#' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' -#' data(DE_results_IFNg_both, package = "DeeDee") -#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' -#' data(DE_results_Salm_naive, package = "DeeDee") -#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' -#' data(DE_results_Salm_both, package = "DeeDee") -#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' -#' dd_list <- list( -#' IFNg_naive = IFNg_naive, -#' IFNg_both = IFNg_both, -#' Salm_naive = Salm_naive, -#' Salm_both = Salm_both -#' ) -#' -#' deedee_scatter(dd_list, -#' pthresh = 0.05, select1 = 1, select2 = 2, -#' color_by = "pval1" -#' ) -#' @export -#' - -deedee_scatter <- function(data, - select1 = 1, - select2 = 2, - color_by = "pval1", - pthresh = 0.05) { - - # ----------------------------- argument check ------------------------------ - checkmate::assert_list(data, type = "data.frame", min.len = 2) - for (i in 1:length(data)) { - checkmate::assert_data_frame(data[[i]], type = "numeric") - } - checkmate::assert_number(pthresh, lower = 0, upper = 1) - checkmate::assert_number(select1, lower = 1, upper = length(data)) - checkmate::assert_number(select2, lower = 1, upper = length(data)) - choices <- c("pval1", "pval2") - checkmate::assert_choice(color_by, choices) - - # ---------------------------- data preparation ----------------------------- - data_red <- list(data[[select1]], data[[select2]]) # selected samples - - for (i in 1:length(data_red)) { - data_red[i][[1]] <- subset( - data_red[i][[1]], - data_red[i][[1]]$pval < pthresh - ) - data_red[i][[1]] <- tibble::rownames_to_column(data_red[i][[1]]) - } - comp <- dplyr::inner_join(data_red[1][[1]], - data_red[2][[1]], - by = "rowname", - copy = FALSE - ) - comp <- comp[stats::complete.cases(comp[colnames(comp)]), ] - - names(comp) <- c("rowname", "logFC1", "pval1", "logFC2", "pval2") - - if (length(comp[, 1]) == 0) { - return(NULL) - } - - # ----------------- creation of the resulting scatter plot ------------------ - res <- ggplot2::ggplot(data = comp, ggplot2::aes(logFC1, logFC2, - col = get(color_by) - )) + - ggplot2::geom_point() + - viridis::scale_color_viridis(option = "magma") + - ggplot2::xlab(names(data)[select1]) + - ggplot2::ylab(names(data)[select2]) + - ggplot2::labs(color = color_by) + - ggplot2::theme_light() - - # --------------------------------- return ---------------------------------- - return(res) -} diff --git a/R/deedee_summary.R b/R/deedee_summary.R deleted file mode 100644 index a3994ba..0000000 --- a/R/deedee_summary.R +++ /dev/null @@ -1,174 +0,0 @@ -#' DeeDee Summary -#' -#' @param deedee_list named list of results from deedee_prepare() -#' @param output_path the path to save the resulting report in. must end with -#' a filename.html (default = "DeeDee_Summary.html" in the -#' working directory) -#' @param overwrite logical value specifying if the output is supposed to -#' overwrite a potential existing file at the location of -#' output_path (default = FALSE) -#' @param pthresh threshold for p-values to be in-/excluded (default = 0.05) -#' @param scatter_select1 index of first data-list element to be used -#' (default = 1) -#' @param scatter_select2 index of second data-list element to be used -#' (default = 2) -#' @param scatter_color_by indicates which set of values the output should be -#' colored by (possible values = `pval1` (default), -#' `pval2`) -#' @param heatmap_show_first indicating the number of genes depicted -#' (default = 25) -#' @param heatmap_show_gene_names boolean, show row names next to heatmap -#' (default = FALSE) -#' @param heatmap_dist select the distance measure (`euclidean`, `manhattan`, -#' `pearson`, `spearman`) -#' @param heatmap_clust select the clustering method (`single`, `complete`, -#' `average`, `centroid`) -#' @param heatmap_show_na boolean, include genes with NA values in heatmap -#' (default = FALSE) -#' @param venn_mode show all overlapping DE genes (`both`, default), -#' only conjointly up-regulated (`up`) -#' or only conjointly down-regulated (`down`) genes -#' @param upset_mode show all overlapping DE genes (`both`), -#' all overlapping genes colored by DE direction -#' (`both_colored`, default), -#' only conjointly up-regulated (`up`) -#' or only conjointly down-regulated (`down`) genes -#' @param upset_min_setsize the minimum size of intersections to be displayed in -#' the UpSet plot (default = 10) -#' @param qqmult_ref index of the contrast in data to be used as reference -#' contrast (default = 1) -#' @param cat_ref index of the contrast in data to be used as reference contrast -#' (default = 1) -#' @param cat_maxrank highest rank that should be displayed (default = 1000) -#' @param cat_mode sort by highest logFC (`up`, default), lowest logFC (`down`) -#' or greatest deviation from zero (`both`) -#' @param silent logical, specifying if success message shall be suppressed -#' (default = FALSE) -#' @param open_file logical, specifying if the output file is supposed to be -#' opened after successful creation (default = TRUE) -#' -#' @return Creates a html document containing the results of running the DeeDee -#' functions on your input data and params. TODO where -#' -#' @export -#' -#' @examples -#' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' -#' data(DE_results_IFNg_both, package = "DeeDee") -#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' -#' data(DE_results_Salm_naive, package = "DeeDee") -#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' -#' data(DE_results_Salm_both, package = "DeeDee") -#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' -#' dd_list <- list( -#' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' Salm_naive = Salm_naive, Salm_both = Salm_both -#' ) -#' \dontrun{ -#' deedee_summary(dd_list) -#' } -#' -deedee_summary <- function(deedee_list, - output_path = "DeeDee_Summary.html", - overwrite = FALSE, - pthresh = 0.05, - scatter_select1 = 1, - scatter_select2 = 2, - scatter_color_by = "pval1", - heatmap_show_first = 25, - heatmap_show_gene_names = FALSE, - heatmap_dist = "euclidean", - heatmap_clust = "average", - heatmap_show_na = FALSE, - venn_mode = "both", - upset_mode = "both_colored", - upset_min_setsize = 10, - qqmult_ref = 1, - cat_ref = 1, - cat_maxrank = 1000, - cat_mode = "up", - silent = FALSE, - open_file = TRUE) { - - # ----------------------------- argument check ------------------------------ - checkmate::assert_list(deedee_list, type = "data.frame", min.len = 2) - for (i in 1:length(deedee_list)) { - checkmate::assert_data_frame(deedee_list[[i]], type = "numeric") - } - checkmate::assert_number(pthresh, lower = 0, upper = 1) - - checkmate::assert_logical(overwrite) - - checkmate::assert_number(scatter_select1, lower = 1, upper = length(deedee_list)) - checkmate::assert_number(scatter_select2, lower = 1, upper = length(deedee_list)) - choices <- c("pval1", "pval2") - checkmate::assert_choice(scatter_color_by, choices) - - checkmate::assert_number(heatmap_show_first, lower = 1) - checkmate::assert_logical(heatmap_show_gene_names) - choices1 <- c("euclidean", "manhattan", "pearson", "spearman") - checkmate::assert_choice(heatmap_dist, choices1) - choices2 <- c("single", "complete", "average", "centroid") - checkmate::assert_choice(heatmap_clust, choices2) - checkmate::assert_logical(heatmap_show_na) - - choices <- c("up", "down", "both") - checkmate::assert_choice(venn_mode, choices) - - choices <- c("up", "down", "both", "both_colored") - checkmate::assert_choice(upset_mode, choices) - checkmate::assert_number(upset_min_setsize, lower = 0) - - checkmate::assert_number(qqmult_ref, lower = 1, upper = length(deedee_list)) - - checkmate::assert_number(cat_ref, lower = 1, upper = length(deedee_list)) - checkmate::assert_number(cat_maxrank, lower = 1) - choices <- c("up", "down", "both") - checkmate::assert_choice(cat_mode, choices) - - # ---------------------------- R Markdown output ----------------------------- - template <- system.file("extdata", - "summary_template.Rmd", - package = "DeeDee" - ) - - if (file.exists(output_path)) { - if (!overwrite) { - stop("Your declared output file already exists. ", - "Set overwrite = TRUE to proceed anyway.", - call. = FALSE - ) - } - } - - output_rmd <- paste(unlist(strsplit(output_path, - split = ".", - fixed = TRUE - ))[1], ".Rmd", sep = "") - - file.copy(from = template, to = output_rmd, overwrite = TRUE) - - args <- list() - args$input <- output_rmd - args$output_format <- "html_document" - args$output_path <- output_path - - output_path <- rmarkdown::render(output_rmd, - params = args - ) - if (open_file == TRUE) { - utils::browseURL(output_path) - } - - file.remove(output_rmd) - - if (silent == FALSE) { - print("Your summary has been generated!") - } -} diff --git a/R/deedee_upset.R b/R/deedee_upset.R deleted file mode 100644 index dea6f44..0000000 --- a/R/deedee_upset.R +++ /dev/null @@ -1,161 +0,0 @@ -#' DeeDee UpSet Plot -#' -#' @description `deedee_upset` creates an UpSet plot depicting the overlaps of -#' differentially expressed genes in the input datasets. -#' -#' @param data named list of results from deedee_prepare() -#' @param mode show all overlapping DE genes (`both`), -#' all overlapping genes colored by DE direction (`both_colored`, -#' default), -#' only conjointly up-regulated (`up`) -#' or only conjointly down-regulated (`down`) genes -#' @param min_setsize the minimum size of intersections to be displayed in the -#' UpSet plot (default = 10) -#' @param pthresh threshold for p-values to be in-/excluded (default = 0.05) -#' -#' @return upset element (plottable with show()/print()) -#' -#' @examples -#' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' -#' data(DE_results_IFNg_both, package = "DeeDee") -#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' -#' data(DE_results_Salm_naive, package = "DeeDee") -#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' -#' data(DE_results_Salm_both, package = "DeeDee") -#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' -#' dd_list <- list( -#' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' Salm_naive = Salm_naive, Salm_both = Salm_both -#' ) -#' -#' deedee_upset(dd_list, pthresh = 0.05, mode = "both_colored", min_setsize = 10) -#' @export -#' - -deedee_upset <- function(data, - mode = "both_colored", - min_setsize = 10, - pthresh = 0.05) { - - # ----------------------------- argument check ------------------------------ - checkmate::assert_list(data, type = "data.frame", min.len = 2) - for (i in 1:length(data)) { - checkmate::assert_data_frame(data[[i]], type = "numeric") - } - checkmate::assert_number(pthresh, lower = 0, upper = 1) - choices <- c("up", "down", "both", "both_colored") - checkmate::assert_choice(mode, choices) - checkmate::assert_number(min_setsize, lower = 0) - - # ---------------------------- data preparation ----------------------------- - for (i in 1:length(data)) { - data[i][[1]] <- subset(data[i][[1]], data[i][[1]]$pval < pthresh) # pthresh - - if (length(data[i][[1]][[1]]) == 0) { - return(NULL) - } - - data[i][[1]] <- data[i][[1]]["logFC"] # removing p-value column - data[i][[1]]$logFC[data[i][[1]]$logFC < 0] <- -1 # 1/0/-1 distinction - data[i][[1]]$logFC[data[i][[1]]$logFC > 0] <- 1 - - if (mode == "both" || mode == "both_colored") { - data[i][[1]] <- subset(data[i][[1]], data[i][[1]]$logFC != 0) - } - - if (mode == "up") { - data[i][[1]] <- subset(data[i][[1]], data[i][[1]]$logFC == 1) - } - - if (mode == "down") { - data[i][[1]] <- subset(data[i][[1]], data[i][[1]]$logFC == -1) - } - data[i][[1]] <- tibble::rownames_to_column(data[i][[1]]) - names(data[i][[1]]) <- c("rowname", names(data[i])) - } - - comp <- dplyr::full_join(data[1][[1]], data[2][[1]], - by = "rowname", - copy = FALSE - ) - - if (length(data) > 2) { - for (i in 3:length(data)) { - comp <- dplyr::full_join(comp, data[i][[1]], by = "rowname", copy = FALSE) - } - } - comp <- tibble::column_to_rownames(comp) - contrasts <- colnames(comp) - - # -------------------------------- coloring --------------------------------- - if (mode == "both_colored") { - count <- vector(mode = "numeric", length = length(comp[[1]])) - comp <- cbind(comp, count) - comp["count"] <- rowSums(comp, na.rm = TRUE) - - na_count <- vector(mode = "numeric", length = length(comp[[1]])) - comp <- cbind(comp, na_count) - comp["na_count"] <- rowSums(is.na(comp)) - - dr <- vector(mode = "character", length = length(comp[[1]])) - comp <- cbind(comp, dr) - - nsets <- length(data) - - for (i in 1:length(comp[[1]])) { - if ((comp[i, "count"] + comp[i, "na_count"]) == nsets) { - comp[i, "dr"] <- "up" - } else if ((comp[i, "count"] - comp[i, "na_count"]) == -nsets) { - comp[i, "dr"] <- "down" - } else { - comp[i, "dr"] <- "different" - } - } - - comp <- subset(comp, select = -c(count, na_count)) - comp[is.na(comp)] <- FALSE - comp[comp == -1 | comp == 1] <- TRUE - } - - # ------------------ creation of the resulting UpSet plot ------------------- - if (mode == "both_colored") { - col_up <- viridis::viridis(n = 1, begin = 0.4, option = "magma") - col_down <- viridis::viridis(n = 1, begin = 0.9, option = "magma") - res <- ComplexUpset::upset(comp, - contrasts, - guide = NULL, - base_annotations = list( - "Intersection of genes" = ComplexUpset::intersection_size( - counts = FALSE, - mapping = ggplot2::aes(fill = dr) - ) - + ggplot2::scale_fill_manual( - values = c( - "different" = "dark grey", - "down" = col_down, - "up" = col_up - ), - name = "Regulation direction" - ) - ), - width_ratio = 0.1, - min_size = min_setsize - ) - } else { - comp <- (comp != 0 & !is.na(comp)) - comp <- as.data.frame(comp) - res <- ComplexUpset::upset(comp, - contrasts, - guide = NULL - ) - } - - # --------------------------------- return ---------------------------------- - return(res) -} diff --git a/R/deedee_venn.R b/R/deedee_venn.R deleted file mode 100644 index 0037319..0000000 --- a/R/deedee_venn.R +++ /dev/null @@ -1,96 +0,0 @@ -#' DeeDee Venn Diagram -#' -#' @description `deedee_venn` creates a Venn diagram depicting the overlaps of -#' differentially expressed genes in the input datasets. -#' -#' @param data named list of results from deedee_prepare() -#' @param mode show all overlapping DE genes (`both`, default), -#' only conjointly up-regulated (`up`) -#' or only conjointly down-regulated (`down`) genes -#' @param pthresh threshold for p-values to be in-/excluded (default = 0.05) -#' -#' @return ggplot object (plottable with show()/print()) -#' -#' @examples -#' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' -#' data(DE_results_IFNg_both, package = "DeeDee") -#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' -#' data(DE_results_Salm_naive, package = "DeeDee") -#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' -#' data(DE_results_Salm_both, package = "DeeDee") -#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' -#' dd_list <- list( -#' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' Salm_naive = Salm_naive, Salm_both = Salm_both -#' ) -#' -#' # deedee_venn(dd_list, pthresh = 0.05, mode = "both") -#' @export -#' - -deedee_venn <- function(data, - mode = "both", - pthresh = 0.05) { - - # ----------------------------- argument check ------------------------------ - checkmate::assert_list(data, type = "data.frame", min.len = 2) # , max.len = 4) - for (i in 1:length(data)) { - checkmate::assert_data_frame(data[[i]], type = "numeric") - } - checkmate::assert_number(pthresh, lower = 0, upper = 1) - choices <- c("up", "down", "both") - checkmate::assert_choice(mode, choices) - - # ---------------------------- data preparation ----------------------------- - for (i in 1:length(data)) { - data[i][[1]] <- subset( - data[i][[1]], - data[i][[1]]$pval < pthresh - ) - - if (length(data[i][[1]][[1]]) == 0) { - return(NULL) - } - - if (mode == "up") { - data[i][[1]] <- subset( - data[i][[1]], - data[i][[1]]$logFC > 0 - ) - } - if (mode == "down") { - data[i][[1]] <- subset( - data[i][[1]], - data[i][[1]]$logFC < 0 - ) - } - data[i][[1]] <- data[i][[1]]["logFC"] # removing p-value column - colnames(data[i][[1]]) <- c(paste("logFC", i, sep = "")) - data[i][[1]] <- as.matrix(data[i][[1]]) # conversion to matrix - names <- rownames(data[i][[1]]) - data[i][[1]] <- as.vector(data[i][[1]]) # conversion to vector - names(data[i][[1]]) <- names - data[i][[1]] <- sort(data[i][[1]], decreasing = TRUE) - data[i][[1]] <- names(data[i][[1]]) - } - - # ----------------- creation of the resulting venn diagram ------------------ - pal <- c(viridis::viridis(length(data), option = "magma")) - - res <- ggvenn::ggvenn(data, - fill_alpha = 0.2, - fill_color = pal, - show_percentage = FALSE, - stroke_color = "grey80", - set_name_size = 4 - ) - - # --------------------------------- return ---------------------------------- - return(res) -} From dae40e57a57776dc432a08e3a91d38f07d4b74ad Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 12:24:52 +0100 Subject: [PATCH 016/182] placeholder for citation info --- inst/CITATION | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) create mode 100644 inst/CITATION diff --git a/inst/CITATION b/inst/CITATION new file mode 100644 index 0000000..e2410be --- /dev/null +++ b/inst/CITATION @@ -0,0 +1,18 @@ +citHeader("DeeDeeExperiment is described in the following publication:") + +citEntry( + entry = "Article", + title = "TODO", + author = personList( + as.person("Lea Rothörl"), + as.person("Federico Marini")), + journal = "TODO", + year = TODO, + volume = TODO, + number = TODO, + pages = TODO, + doi = "https://doi.org/TODO", + textVersion = paste0( + "TODO" + ) +) From 20d21ba7ce6cc6161731661d4d99abdca313a4da Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 12:25:27 +0100 Subject: [PATCH 017/182] adding script to document creation of all datasets to be used in the examples --- inst/scripts/create_datasets_example.R | 130 +++++++++++++++++++++++++ 1 file changed, 130 insertions(+) create mode 100644 inst/scripts/create_datasets_example.R diff --git a/inst/scripts/create_datasets_example.R b/inst/scripts/create_datasets_example.R new file mode 100644 index 0000000..7da26e6 --- /dev/null +++ b/inst/scripts/create_datasets_example.R @@ -0,0 +1,130 @@ +# round 1 ----------------------------------------------------------------- + +library("macrophage") +library("DESeq2") +library("org.Hs.eg.db") +library("AnnotationDbi") +library("dplyr") +library("ggplot2") + +data(gse, "macrophage") +dds_macrophage <- DESeqDataSet(gse, design = ~ line + condition) +rownames(dds_macrophage) <- substr(rownames(dds_macrophage), 1, 15) +dds_macrophage + +se_macrophage <- gse +rownames(se_macrophage) <- substr(rownames(se_macrophage), 1, 15) +se_macrophage + +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rownames(se_macrophage) +) + +anno_df <- data.frame( + gene_id = rownames(dds_macrophage), + gene_name = mapIds(org.Hs.eg.db, + keys = rownames(dds_macrophage), + column = "SYMBOL", + keytype = "ENSEMBL" + ), + stringsAsFactors = FALSE, + row.names = rownames(dds_macrophage) +) + +colData(se_macrophage) +rowData(se_macrophage) + +# DE run +keep <- rowSums(counts(dds_macrophage) >= 10) >= 6 +dds_macrophage <- dds_macrophage[keep, ] +dds_unnormalized <- dds_macrophage + +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rownames(se_macrophage) +) + + +dds_macrophage <- DESeq(dds_macrophage) +vst_macrophage <- vst(dds_macrophage) +res_macrophage_IFNg_vs_naive <- results(dds_macrophage, + contrast = c("condition", "IFNg", "naive"), + lfcThreshold = 1, alpha = 0.05 +) +summary(res_macrophage_IFNg_vs_naive) +res_macrophage_IFNg_vs_naive$SYMBOL <- rowData(dds_macrophage)$SYMBOL + +se_macrophage <- se_macrophage[keep, ] + +colData(se_macrophage) +rowData(se_macrophage) + +# DE results +IFNg_naive <- results(dds_macrophage, + contrast = c("condition", "IFNg", "naive"), + lfcThreshold = 1, alpha = 0.05 +) + +save(IFNg_naive, file = "data/DE_results_IFNg_naive.RData", compress = "xz") + + +IFNg_both <- results(dds_macrophage, + contrast = c("condition", "IFNg_SL1344", "IFNg"), + lfcThreshold = 1, alpha = 0.05 +) + +save(IFNg_both, file = "data/DE_results_IFNg_both.RData", compress = "xz") + + +Salm_naive <- results(dds_macrophage, + contrast = c("condition", "SL1344", "naive"), + lfcThreshold = 1, alpha = 0.05 +) + +save(Salm_naive, file = "data/DE_results_Salm_naive.RData", compress = "xz") + + +Salm_both <- results(dds_macrophage, + contrast = c("condition", "IFNg_SL1344", "SL1344"), + lfcThreshold = 1, alpha = 0.05 +) + +save(Salm_both, file = "data/DE_results_Salm_both.RData", compress = "xz") + + +res_de <- res_macrophage_IFNg_vs_naive +str(res_de) + +data(DE_results_IFNg_naive, package = "DeeDee") +IFNg_naive +data(DE_results_IFNg_both, package = "DeeDee") +IFNg_both +data(DE_results_Salm_naive, package = "DeeDee") +Salm_naive +data(DE_results_Salm_both, package = "DeeDee") +Salm_both + +# for the original object/implementation: +# dd_list_original <- list( +# IFNg_naive = DeeDee::deedee_prepare(IFNg_naive, "DESeq2"), +# IFNg_both = DeeDee::deedee_prepare(IFNg_both, "DESeq2"), +# Salm_naive = DeeDee::deedee_prepare(Salm_naive, "DESeq2"), +# Salm_both = DeeDee::deedee_prepare(Salm_both, "DESeq2") +# ) + +# save(dd_list_original, file = "data/dd_list_original.RData", compress = "xz") +data("dd_list_original", package = "DeeDee") + +# for the new version +del <- list( + ifng_vs_naive = IFNg_naive, + ifngsalmo_vs_naive = IFNg_both, + salmonella_vs_naive = Salm_naive, + salmo_both = Salm_both +) + +# save(del, file = "data/de_named_list.RData", compress = "xz") +data("de_named_list", package = "DeeDee") + + From 6f7f92f2acc96fb754d2702b562975d845defe74 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 12:25:49 +0100 Subject: [PATCH 018/182] adding extra data items for the package --- data/dd_list_original.RData | Bin 0 -> 663432 bytes data/de_named_list.RData | Bin 0 -> 1638352 bytes 2 files 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z8E0_#ByUcANAnl_CtRqse*%!?vJ3*Pg+jIsmrtJS%ubaF2`XO}x(g`V@+K+_YJ@xK zmg(_eGJfFaP%B8Pf12pJx{%wA1o-E9;@{X2b&Y4&iQi~g1eRaQWpHR`B6BC0r z4!A$clFej7C5WD#4LW~0S@sMUg(gBIfbtD!ldy=pu_HLOkdOZp&HPTW1 zgoU9{)w9fUT}idN6&Ukl_F(2sHNsC1<(PaT&+196aAe@ag75v6p2CzG&9GhitEBHW zChjjlYx#|{DZqX>5beQd6mCl+;Uq* zQBt-m{<9hUG}+ZYu)kr+n0q|2Y!qnV&H;jWmWjkPh%;@vNC8ZlG3gWGM=Ec9ae%Y`7?;~uUSHr{Hj$cw*#}b>PNk}} zG%jVZ>U}jCW%Op*H<-{0i>s9H<*VUA*ns8&W zrh4UE*gvb%b`+)P$JF=Zktl}SR1(`Mx|^KiHs>&E<1qKgsIZ?%gpEO9awK>BUc-Jq zemP3C-T8N_Jzq)^c^J8^xVB6>-YuSK=h2G6P*SwZ-8r#ro~uH#QWV|{04xjE8{zIe zSHx`Q;W8>bj`2vcD%8Z}qQ#*d$V4O~jGk@5xir?0kzy{+ Date: Tue, 8 Nov 2022 12:43:37 +0100 Subject: [PATCH 019/182] updated DESCRIPTION file with newly introduced dependencies --- DESCRIPTION | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 0f210d1..cf8f8ed 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -49,10 +49,13 @@ Imports: utils, viridis, writexl, - xml2 + xml2, + SummarizedExperiment, + methods, + S4Vectors, + rlang Suggests: macrophage, - methods, rmarkdown, knitr, org.Hs.eg.db, From c07c295fc35d0da1c99c8f6930fcab6458aa9f23 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 12:43:52 +0100 Subject: [PATCH 020/182] placeholder file for the app --- R/DeeDee-app.R | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 R/DeeDee-app.R diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R new file mode 100644 index 0000000..e69de29 From 2fa244b0220f09936e7e3e0a75c1b8d4673c741e Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 12:48:09 +0100 Subject: [PATCH 021/182] updating template to use new set of params and functions - will be renamed for clarity --- inst/extdata/summary_template.Rmd | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/inst/extdata/summary_template.Rmd b/inst/extdata/summary_template.Rmd index a72beae..169f893 100644 --- a/inst/extdata/summary_template.Rmd +++ b/inst/extdata/summary_template.Rmd @@ -27,7 +27,7 @@ This document contains the results of running all main DeeDee functions on your Your contrasts: ```{r echo = TRUE} -names(deedee_list) +dea(dde) ``` @@ -39,12 +39,13 @@ library(DeeDee) ## DeeDee scatter plot ```{r echo = TRUE} - deedee_scatter(data = deedee_list, +ddedde_scatter(dde = dde, pthresh = pthresh, select1 = scatter_select1, select2 = scatter_select2, color_by = scatter_color_by) ``` + Your parameters: * pthresh = `r pthresh` @@ -56,7 +57,7 @@ Your parameters: ## DeeDee heatmap ```{r echo = TRUE} - deedee_heatmap(data = deedee_list, +ddedde_heatmap(dde = dde, pthresh = pthresh, show_first = heatmap_show_first, show_gene_names = heatmap_show_gene_names, @@ -77,7 +78,7 @@ Your parameters: ## DeeDee Venn diagram ```{r echo = TRUE} - deedee_venn(data = deedee_list, + ddedde_venn(dde = dde, pthresh = pthresh, mode = venn_mode) ``` @@ -90,7 +91,7 @@ Your parameters: ## DeeDee UpSet plot ```{r echo = TRUE} - deedee_upset(data = deedee_list, + ddedde_upset(dde = dde, pthresh = pthresh, mode = upset_mode, min_setsize = upset_min_setsize) @@ -104,7 +105,7 @@ Your parameters: *** ## DeeDee Q-Q plot ```{r echo = TRUE} - deedee_qqmult(data = deedee_list, + ddedde_qqmult(dde = dde, pthresh = pthresh, ref = qqmult_ref) ``` @@ -117,7 +118,7 @@ Your parameters: ## DeeDee CAT plot ```{r echo = TRUE} - deedee_cat(data = deedee_list, + ddedde_cat(dde = dde, pthresh = pthresh, ref = cat_ref, maxrank = cat_maxrank, From 725f7ec5ad3c185d213158b5672e3db73c8e2b84 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 12:49:55 +0100 Subject: [PATCH 022/182] better indenting for the template --- inst/extdata/summary_template.Rmd | 80 +++++++++++++++++-------------- 1 file changed, 45 insertions(+), 35 deletions(-) diff --git a/inst/extdata/summary_template.Rmd b/inst/extdata/summary_template.Rmd index 169f893..2c5a25c 100644 --- a/inst/extdata/summary_template.Rmd +++ b/inst/extdata/summary_template.Rmd @@ -15,10 +15,12 @@ always_allow_html: yes --- ```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE, - warning = FALSE, - message = FALSE, - error = TRUE) +knitr::opts_chunk$set( + echo = TRUE, + warning = FALSE, + message = FALSE, + error = TRUE +) ``` ## About this document @@ -31,19 +33,19 @@ dea(dde) ``` - ```{r echo = FALSE, results = FALSE} -library(DeeDee) +library("DeeDee") ``` ## DeeDee scatter plot + ```{r echo = TRUE} ddedde_scatter(dde = dde, - pthresh = pthresh, - select1 = scatter_select1, - select2 = scatter_select2, - color_by = scatter_color_by) + pthresh = pthresh, + select1 = scatter_select1, + select2 = scatter_select2, + color_by = scatter_color_by) ``` Your parameters: @@ -56,15 +58,17 @@ Your parameters: *** ## DeeDee heatmap + ```{r echo = TRUE} ddedde_heatmap(dde = dde, - pthresh = pthresh, - show_first = heatmap_show_first, - show_gene_names = heatmap_show_gene_names, - dist = heatmap_dist, - clust = heatmap_clust, - show_na = heatmap_show_na) + pthresh = pthresh, + show_first = heatmap_show_first, + show_gene_names = heatmap_show_gene_names, + dist = heatmap_dist, + clust = heatmap_clust, + show_na = heatmap_show_na) ``` + Your parameters: * pthresh = `r pthresh` @@ -77,11 +81,13 @@ Your parameters: *** ## DeeDee Venn diagram + ```{r echo = TRUE} - ddedde_venn(dde = dde, - pthresh = pthresh, - mode = venn_mode) +ddedde_venn(dde = dde, + pthresh = pthresh, + mode = venn_mode) ``` + Your parameters: * pthresh = `r pthresh` @@ -90,12 +96,14 @@ Your parameters: *** ## DeeDee UpSet plot + ```{r echo = TRUE} - ddedde_upset(dde = dde, - pthresh = pthresh, - mode = upset_mode, - min_setsize = upset_min_setsize) +ddedde_upset(dde = dde, + pthresh = pthresh, + mode = upset_mode, + min_setsize = upset_min_setsize) ``` + Your parameters: * pthresh = `r pthresh` @@ -103,12 +111,15 @@ Your parameters: * min_setsize = `r upset_min_setsize` *** + ## DeeDee Q-Q plot + ```{r echo = TRUE} - ddedde_qqmult(dde = dde, - pthresh = pthresh, - ref = qqmult_ref) +ddedde_qqmult(dde = dde, + pthresh = pthresh, + ref = qqmult_ref) ``` + Your parameters: * pthresh = `r pthresh` @@ -117,13 +128,15 @@ Your parameters: *** ## DeeDee CAT plot + ```{r echo = TRUE} - ddedde_cat(dde = dde, - pthresh = pthresh, - ref = cat_ref, - maxrank = cat_maxrank, - mode = cat_mode) +ddedde_cat(dde = dde, + pthresh = pthresh, + ref = cat_ref, + maxrank = cat_maxrank, + mode = cat_mode) ``` + Your parameters: * pthresh = `r pthresh` @@ -134,10 +147,7 @@ Your parameters: *** ## Session info {-} + ```{r} sessionInfo() ``` - - - - From fc54e6132d8f2fc10fded3c1fb97d7a5d7518355 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 12:54:05 +0100 Subject: [PATCH 023/182] avoid note for TODO.md file in checking, if present --- .Rbuildignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.Rbuildignore b/.Rbuildignore index 873addc..6862a61 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -1,3 +1,4 @@ ^DeeDee\.Rproj$ ^\.Rproj\.user$ ^LICENSE\.md$ +^TODO\.md$ From 13011d821413c4b27a2a34f02f277c35914e8e3a Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 14:00:05 +0100 Subject: [PATCH 024/182] re-generating namespace --- NAMESPACE | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/NAMESPACE b/NAMESPACE index 6c8fe1d..bde5d51 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,6 +1,19 @@ # Generated by roxygen2: do not edit by hand +export(DeeDeeExperiment) export(DeeDeeObject) +export(add_dea) +export(ddedde_bars) +export(ddedde_cat) +export(ddedde_heatmap) +export(ddedde_qq) +export(ddedde_qqmult) +export(ddedde_scatter) +export(ddedde_summary) +export(ddedde_upset) +export(ddedde_venn) +export(de_list_checker) +export(dea) export(deedee_app) export(deedee_cat) export(deedee_heatmap) @@ -11,7 +24,15 @@ export(deedee_scatter) export(deedee_summary) export(deedee_upset) export(deedee_venn) +export(get_dea) +export(get_deas_list) +export(remove_dea) +exportClasses(DeeDeeExperiment) exportClasses(DeeDeeObject) +exportMethods(dea) +exportMethods(show) +import(methods) +importClassesFrom(SummarizedExperiment,RangedSummarizedExperiment) importFrom(AnnotationDbi,keytypes) importFrom(ComplexHeatmap,Heatmap) importFrom(ComplexHeatmap,draw) @@ -20,6 +41,11 @@ importFrom(ComplexUpset,upset) importFrom(DESeq2,DESeq) importFrom(DESeq2,results) importFrom(InteractiveComplexHeatmap,makeInteractiveComplexHeatmap) +importFrom(S4Vectors,"metadata<-") +importFrom(S4Vectors,metadata) +importFrom(SummarizedExperiment,"rowData<-") +importFrom(SummarizedExperiment,mcols) +importFrom(SummarizedExperiment,rowData) importFrom(checkmate,assertChoice) importFrom(checkmate,assertClass) importFrom(checkmate,assertDataFrame) @@ -50,6 +76,7 @@ importFrom(ggplot2,ylab) importFrom(ggvenn,ggvenn) importFrom(readxl,excel_sheets) importFrom(readxl,read_excel) +importFrom(rlang,.data) importFrom(shiny,actionButton) importFrom(shiny,addResourcePath) importFrom(shiny,brushOpts) @@ -92,6 +119,8 @@ importFrom(stats,complete.cases) importFrom(tibble,column_to_rownames) importFrom(tibble,rownames_to_column) importFrom(tools,file_ext) +importFrom(utils,data) +importFrom(utils,packageVersion) importFrom(utils,read.table) importFrom(viridis,scale_color_viridis) importFrom(viridis,viridis) From 87ca4c787454924c3c475f45351b898c817b4279 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 14:00:30 +0100 Subject: [PATCH 025/182] re-rendering manpages and creating the ones new --- man/DeeDee-pkg.Rd | 2 +- man/DeeDeeExperiment-dea.Rd | 19 ++++++ man/DeeDeeExperiment-misc.Rd | 20 +++++++ man/DeeDeeExperiment.Rd | 30 ++++++++++ man/DeeDeeObject-class.Rd | 2 +- man/IFNg_both.Rd | 2 +- man/IFNg_naive.Rd | 2 +- man/Salm_both.Rd | 2 +- man/Salm_naive.Rd | 2 +- man/add_dea.Rd | 26 ++++++++ man/dd_list_original.Rd | 12 ++++ man/ddedde_bars.Rd | 34 +++++++++++ man/ddedde_cat.Rd | 54 +++++++++++++++++ man/ddedde_heatmap.Rd | 64 ++++++++++++++++++++ man/ddedde_qq.Rd | 53 +++++++++++++++++ man/ddedde_qqmult.Rd | 46 +++++++++++++++ man/ddedde_scatter.Rd | 52 ++++++++++++++++ man/ddedde_summary.Rd | 111 +++++++++++++++++++++++++++++++++++ man/ddedde_upset.Rd | 42 +++++++++++++ man/ddedde_venn.Rd | 40 +++++++++++++ man/de_list_checker.Rd | 20 +++++++ man/deedee_app.Rd | 2 +- man/deedee_cat.Rd | 2 +- man/deedee_heatmap.Rd | 2 +- man/deedee_prepare.Rd | 2 +- man/deedee_qq.Rd | 2 +- man/deedee_qqmult.Rd | 2 +- man/deedee_scatter.Rd | 2 +- man/deedee_summary.Rd | 2 +- man/deedee_upset.Rd | 2 +- man/deedee_venn.Rd | 2 +- man/del.Rd | 13 ++++ man/get_dea.Rd | 22 +++++++ man/get_deas_list.Rd | 20 +++++++ man/remove_dea.Rd | 22 +++++++ 35 files changed, 716 insertions(+), 16 deletions(-) create mode 100644 man/DeeDeeExperiment-dea.Rd create mode 100644 man/DeeDeeExperiment-misc.Rd create mode 100644 man/DeeDeeExperiment.Rd create mode 100644 man/add_dea.Rd create mode 100644 man/dd_list_original.Rd create mode 100644 man/ddedde_bars.Rd create mode 100644 man/ddedde_cat.Rd create mode 100644 man/ddedde_heatmap.Rd create mode 100644 man/ddedde_qq.Rd create mode 100644 man/ddedde_qqmult.Rd create mode 100644 man/ddedde_scatter.Rd create mode 100644 man/ddedde_summary.Rd create mode 100644 man/ddedde_upset.Rd create mode 100644 man/ddedde_venn.Rd create mode 100644 man/de_list_checker.Rd create mode 100644 man/del.Rd create mode 100644 man/get_dea.Rd create mode 100644 man/get_deas_list.Rd create mode 100644 man/remove_dea.Rd diff --git a/man/DeeDee-pkg.Rd b/man/DeeDee-pkg.Rd index c9853ad..3700726 100644 --- a/man/DeeDee-pkg.Rd +++ b/man/DeeDee-pkg.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee-pkg.R +% Please edit documentation in R/DeeDee-pkg.R \docType{package} \name{DeeDee-pkg} \alias{DeeDee-pkg} diff --git a/man/DeeDeeExperiment-dea.Rd b/man/DeeDeeExperiment-dea.Rd new file mode 100644 index 0000000..81b34bb --- /dev/null +++ b/man/DeeDeeExperiment-dea.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDeeExperiment-methods.R +\name{DeeDeeExperiment-dea} +\alias{DeeDeeExperiment-dea} +\alias{dea} +\alias{dea,DeeDeeExperiment-method} +\title{Methods for deedee exps} +\usage{ +\S4method{dea}{DeeDeeExperiment}(x) +} +\arguments{ +\item{x}{deex} +} +\value{ +Return value varies depending on method, as described below. +} +\description{ +Todo +} diff --git a/man/DeeDeeExperiment-misc.Rd b/man/DeeDeeExperiment-misc.Rd new file mode 100644 index 0000000..a70e29b --- /dev/null +++ b/man/DeeDeeExperiment-misc.Rd @@ -0,0 +1,20 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDeeExperiment-methods.R +\name{DeeDeeExperiment-misc} +\alias{DeeDeeExperiment-misc} +\alias{show,DeeDeeExperiment-method} +\title{Miscellaneous DeeDeeExperiment methods} +\usage{ +\S4method{show}{DeeDeeExperiment}(object) +} +\arguments{ +\item{object}{a \code{\link{DeeDeeExperiment}} object} +} +\value{ +Returns NULL +} +\description{ +Miscellaneous methods for the \code{\link{DeeDeeExperiment}} class and its +descendants that do not fit into any other documentation category such as, +for example, show methods. +} diff --git a/man/DeeDeeExperiment.Rd b/man/DeeDeeExperiment.Rd new file mode 100644 index 0000000..b66cc3a --- /dev/null +++ b/man/DeeDeeExperiment.Rd @@ -0,0 +1,30 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/AllClasses.R, R/DeeDeeExperiment.R +\docType{class} +\name{DeeDeeExperiment-class} +\alias{DeeDeeExperiment-class} +\alias{DeeDeeExperiment} +\title{DeeDeeExperiment} +\usage{ +DeeDeeExperiment(se, de_results) +} +\arguments{ +\item{se}{ssss} + +\item{de_results}{ssss} +} +\value{ +tODO +} +\description{ +dde <- DeeDeeExperiment(se_macrophage, de_results = del) +} +\section{Slots}{ + +\describe{ +\item{\code{dea}}{todo} +}} + +\examples{ +# todo +} diff --git a/man/DeeDeeObject-class.Rd b/man/DeeDeeObject-class.Rd index cb41b55..e26fd72 100644 --- a/man/DeeDeeObject-class.Rd +++ b/man/DeeDeeObject-class.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDeeObject.R +% Please edit documentation in R/old_DeeDeeObject.R \docType{class} \name{DeeDeeObject-class} \alias{DeeDeeObject-class} diff --git a/man/IFNg_both.Rd b/man/IFNg_both.Rd index b444db9..017da46 100644 --- a/man/IFNg_both.Rd +++ b/man/IFNg_both.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee-data.R +% Please edit documentation in R/DeeDee-data.R \docType{data} \name{IFNg_both} \alias{IFNg_both} diff --git a/man/IFNg_naive.Rd b/man/IFNg_naive.Rd index 47f6bc4..08783b0 100644 --- a/man/IFNg_naive.Rd +++ b/man/IFNg_naive.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee-data.R +% Please edit documentation in R/DeeDee-data.R \docType{data} \name{IFNg_naive} \alias{IFNg_naive} diff --git a/man/Salm_both.Rd b/man/Salm_both.Rd index f0d1280..6044835 100644 --- a/man/Salm_both.Rd +++ b/man/Salm_both.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee-data.R +% Please edit documentation in R/DeeDee-data.R \docType{data} \name{Salm_both} \alias{Salm_both} diff --git a/man/Salm_naive.Rd b/man/Salm_naive.Rd index 7e1d2e3..5654798 100644 --- a/man/Salm_naive.Rd +++ b/man/Salm_naive.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee-data.R +% Please edit documentation in R/DeeDee-data.R \docType{data} \name{Salm_naive} \alias{Salm_naive} diff --git a/man/add_dea.Rd b/man/add_dea.Rd new file mode 100644 index 0000000..603ff72 --- /dev/null +++ b/man/add_dea.Rd @@ -0,0 +1,26 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDeeExperiment.R +\name{add_dea} +\alias{add_dea} +\title{dde : the deedee exp object +dea: the named list, as for the main constructor +Title} +\usage{ +add_dea(dde, dea) +} +\arguments{ +\item{dde}{todo} + +\item{dea}{todo} +} +\value{ +todo +} +\description{ +dde : the deedee exp object +dea: the named list, as for the main constructor +Title +} +\examples{ +# todo +} diff --git a/man/dd_list_original.Rd b/man/dd_list_original.Rd new file mode 100644 index 0000000..cc20513 --- /dev/null +++ b/man/dd_list_original.Rd @@ -0,0 +1,12 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee-data.R +\docType{data} +\name{dd_list_original} +\alias{dd_list_original} +\title{dd_list_original} +\description{ +A list of \code{deedee_prepare}d DE results. +} +\details{ +documented creation in ... script +} diff --git a/man/ddedde_bars.Rd b/man/ddedde_bars.Rd new file mode 100644 index 0000000..789f411 --- /dev/null +++ b/man/ddedde_bars.Rd @@ -0,0 +1,34 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee_funcs.R +\name{ddedde_bars} +\alias{ddedde_bars} +\title{Title} +\usage{ +ddedde_bars(dde) +} +\arguments{ +\item{dde}{todo} +} +\value{ +todo +} +\description{ +Title +} +\examples{ +data("de_named_list", package = "DeeDee") +library(SummarizedExperiment) + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + del +) +dde +} diff --git a/man/ddedde_cat.Rd b/man/ddedde_cat.Rd new file mode 100644 index 0000000..c8640ae --- /dev/null +++ b/man/ddedde_cat.Rd @@ -0,0 +1,54 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee_funcs.R +\name{ddedde_cat} +\alias{ddedde_cat} +\title{deedee_heatmap(dd_list_original, +pthresh = 0.05, show_first = 25, +show_gene_names = FALSE, dist = "euclidean", +clust = "average", show_na = FALSE +) +deedee_cat(dd_list_original, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) +Title} +\usage{ +ddedde_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) +} +\arguments{ +\item{dde}{todo} + +\item{ref}{todo} + +\item{maxrank}{todo} + +\item{mode}{todo} + +\item{pthresh}{todo} +} +\value{ +todo +} +\description{ +deedee_heatmap(dd_list_original, +pthresh = 0.05, show_first = 25, +show_gene_names = FALSE, dist = "euclidean", +clust = "average", show_na = FALSE +) +deedee_cat(dd_list_original, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) +Title +} +\examples{ +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + del +) +dde +} diff --git a/man/ddedde_heatmap.Rd b/man/ddedde_heatmap.Rd new file mode 100644 index 0000000..42c4441 --- /dev/null +++ b/man/ddedde_heatmap.Rd @@ -0,0 +1,64 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee_funcs.R +\name{ddedde_heatmap} +\alias{ddedde_heatmap} +\title{deedee_heatmap(dd_list_original, +pthresh = 0.05, show_first = 25, +show_gene_names = FALSE, dist = "euclidean", +clust = "average", show_na = FALSE +) +Title} +\usage{ +ddedde_heatmap( + dde, + show_first = 25, + show_gene_names = FALSE, + dist = "euclidean", + clust = "average", + show_na = FALSE, + pthresh = 0.05 +) +} +\arguments{ +\item{dde}{todo} + +\item{show_first}{todo} + +\item{show_gene_names}{todo} + +\item{dist}{todo} + +\item{clust}{todo} + +\item{show_na}{todo} + +\item{pthresh}{todo} +} +\value{ +todo +} +\description{ +deedee_heatmap(dd_list_original, +pthresh = 0.05, show_first = 25, +show_gene_names = FALSE, dist = "euclidean", +clust = "average", show_na = FALSE +) +Title +} +\examples{ +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + del +) +dde +} diff --git a/man/ddedde_qq.Rd b/man/ddedde_qq.Rd new file mode 100644 index 0000000..4978b4e --- /dev/null +++ b/man/ddedde_qq.Rd @@ -0,0 +1,53 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee_funcs.R +\name{ddedde_qq} +\alias{ddedde_qq} +\title{deedee_qq(dd_list_original, pthresh = 0.05, select = 1, select2 = 2, color_by = "pval1") +Title} +\usage{ +ddedde_qq( + dde, + select1 = 1, + select2 = 2, + color_by = "pval1", + as_line = FALSE, + pthresh = 0.05 +) +} +\arguments{ +\item{dde}{todo} + +\item{select1}{todo} + +\item{select2}{todo} + +\item{color_by}{todo} + +\item{as_line}{todo} + +\item{pthresh}{todo} +} +\value{ +todo +} +\description{ +deedee_qq(dd_list_original, pthresh = 0.05, select = 1, select2 = 2, color_by = "pval1") +Title +} +\examples{ +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + del +) +dde +} diff --git a/man/ddedde_qqmult.Rd b/man/ddedde_qqmult.Rd new file mode 100644 index 0000000..5dbb80a --- /dev/null +++ b/man/ddedde_qqmult.Rd @@ -0,0 +1,46 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee_funcs.R +\name{ddedde_qqmult} +\alias{ddedde_qqmult} +\title{deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 1) +deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 2) +deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 3) +deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 4) +Title} +\usage{ +ddedde_qqmult(dde, ref = 1, pthresh = 0.05) +} +\arguments{ +\item{dde}{todo} + +\item{ref}{todo} + +\item{pthresh}{todo} +} +\value{ +todo +} +\description{ +deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 1) +deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 2) +deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 3) +deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 4) +Title +} +\examples{ +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + del +) +dde +} diff --git a/man/ddedde_scatter.Rd b/man/ddedde_scatter.Rd new file mode 100644 index 0000000..7787091 --- /dev/null +++ b/man/ddedde_scatter.Rd @@ -0,0 +1,52 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee_funcs.R +\name{ddedde_scatter} +\alias{ddedde_scatter} +\title{Title} +\usage{ +ddedde_scatter( + dde, + select1 = 1, + select2 = 2, + color_by = "pval1", + pthresh = 0.05 +) +} +\arguments{ +\item{dde}{todo} + +\item{select1}{todo} + +\item{select2}{todo} + +\item{color_by}{todo} + +\item{pthresh}{todo} +} +\value{ +todo +} +\description{ +Title +} +\examples{ +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + del +) +dde +ddedde_scatter(dde, 1, 3, color_by = "pval2") +ddedde_scatter(dde, 1, 2) +ddedde_scatter(dde, 1, 4) +ddedde_scatter(dde, 3, 2) +} diff --git a/man/ddedde_summary.Rd b/man/ddedde_summary.Rd new file mode 100644 index 0000000..45d0796 --- /dev/null +++ b/man/ddedde_summary.Rd @@ -0,0 +1,111 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee_funcs.R +\name{ddedde_summary} +\alias{ddedde_summary} +\title{ddedde_qqmult(dde, +pthresh = 0.05, +ref = 1)} +\usage{ +ddedde_summary( + dde, + template = system.file("extdata", "summary_template.Rmd", package = "DeeDee"), + output_path = "DeeDee_Summary.html", + overwrite = FALSE, + pthresh = 0.05, + scatter_select1 = 1, + scatter_select2 = 2, + scatter_color_by = "pval1", + heatmap_show_first = 25, + heatmap_show_gene_names = FALSE, + heatmap_dist = "euclidean", + heatmap_clust = "average", + heatmap_show_na = FALSE, + venn_mode = "both", + upset_mode = "both_colored", + upset_min_setsize = 10, + qqmult_ref = 1, + cat_ref = 1, + cat_maxrank = 1000, + cat_mode = "up", + silent = FALSE, + open_file = TRUE +) +} +\arguments{ +\item{dde}{todo} + +\item{template}{todo} + +\item{output_path}{todo} + +\item{overwrite}{todo} + +\item{pthresh}{todo} + +\item{scatter_select1}{todo} + +\item{scatter_select2}{todo} + +\item{scatter_color_by}{todo} + +\item{heatmap_show_first}{todo} + +\item{heatmap_show_gene_names}{todo} + +\item{heatmap_dist}{todo} + +\item{heatmap_clust}{todo} + +\item{heatmap_show_na}{todo} + +\item{venn_mode}{todo} + +\item{upset_mode}{todo} + +\item{upset_min_setsize}{todo} + +\item{qqmult_ref}{todo} + +\item{cat_ref}{todo} + +\item{cat_maxrank}{todo} + +\item{cat_mode}{todo} + +\item{silent}{todo} + +\item{open_file}{todo} +} +\value{ +todo +} +\description{ +deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 2) +ddedde_qqmult(dde, pthresh = 0.05, ref = 2) +} +\details{ +deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 3) +ddedde_qqmult(dde, pthresh = 0.05, ref = 3) + +deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 4) +ddedde_qqmult(dde, pthresh = 0.05, ref = 4) +deedee_summary(dd_list_original) +Title +} +\examples{ +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + del +) +dde +} diff --git a/man/ddedde_upset.Rd b/man/ddedde_upset.Rd new file mode 100644 index 0000000..b3a7929 --- /dev/null +++ b/man/ddedde_upset.Rd @@ -0,0 +1,42 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee_funcs.R +\name{ddedde_upset} +\alias{ddedde_upset} +\title{deedee_upset(dd_list_original, pthresh = 0.05, mode = "both_colored", min_setsize = 10) +Title} +\usage{ +ddedde_upset(dde, mode = "both_colored", min_setsize = 10, pthresh = 0.05) +} +\arguments{ +\item{dde}{todo} + +\item{mode}{todo} + +\item{min_setsize}{todo} + +\item{pthresh}{todo} +} +\value{ +todo +} +\description{ +deedee_upset(dd_list_original, pthresh = 0.05, mode = "both_colored", min_setsize = 10) +Title +} +\examples{ +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + del +) +dde +} diff --git a/man/ddedde_venn.Rd b/man/ddedde_venn.Rd new file mode 100644 index 0000000..9636f81 --- /dev/null +++ b/man/ddedde_venn.Rd @@ -0,0 +1,40 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee_funcs.R +\name{ddedde_venn} +\alias{ddedde_venn} +\title{deedee_venn(dd_list_original, pthresh = 0.05, mode = "both") +Title} +\usage{ +ddedde_venn(dde, mode = "both", pthresh = 0.05) +} +\arguments{ +\item{dde}{todo} + +\item{mode}{todo} + +\item{pthresh}{todo} +} +\value{ +todo +} +\description{ +deedee_venn(dd_list_original, pthresh = 0.05, mode = "both") +Title +} +\examples{ +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + del +) +dde +} diff --git a/man/de_list_checker.Rd b/man/de_list_checker.Rd new file mode 100644 index 0000000..6e68ca3 --- /dev/null +++ b/man/de_list_checker.Rd @@ -0,0 +1,20 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDeeExperiment.R +\name{de_list_checker} +\alias{de_list_checker} +\title{Title} +\usage{ +de_list_checker(del) +} +\arguments{ +\item{del}{todo} +} +\value{ +todo +} +\description{ +Title +} +\examples{ +# todo +} diff --git a/man/deedee_app.Rd b/man/deedee_app.Rd index af200f1..d0ee910 100644 --- a/man/deedee_app.Rd +++ b/man/deedee_app.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee_app.R +% Please edit documentation in R/old_deedee_app.R \name{deedee_app} \alias{deedee_app} \title{DeeDee App} diff --git a/man/deedee_cat.Rd b/man/deedee_cat.Rd index 3782ebf..61cb305 100644 --- a/man/deedee_cat.Rd +++ b/man/deedee_cat.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee_cat.R +% Please edit documentation in R/old_deedee_cat.R \name{deedee_cat} \alias{deedee_cat} \title{DeeDee Concordance At the Top Plot} diff --git a/man/deedee_heatmap.Rd b/man/deedee_heatmap.Rd index 8f7ebf2..f11b8f9 100644 --- a/man/deedee_heatmap.Rd +++ b/man/deedee_heatmap.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee_heatmap.R +% Please edit documentation in R/old_deedee_heatmap.R \name{deedee_heatmap} \alias{deedee_heatmap} \title{DeeDee Heatmap} diff --git a/man/deedee_prepare.Rd b/man/deedee_prepare.Rd index 1e917b6..ff2e79b 100644 --- a/man/deedee_prepare.Rd +++ b/man/deedee_prepare.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee_prepare.R +% Please edit documentation in R/old_deedee_prepare.R \name{deedee_prepare} \alias{deedee_prepare} \title{DeeDee Prepare} diff --git a/man/deedee_qq.Rd b/man/deedee_qq.Rd index 7a77f3c..7e74cf7 100644 --- a/man/deedee_qq.Rd +++ b/man/deedee_qq.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee_qq.R +% Please edit documentation in R/old_deedee_qq.R \name{deedee_qq} \alias{deedee_qq} \title{DeeDee QQ Plot} diff --git a/man/deedee_qqmult.Rd b/man/deedee_qqmult.Rd index 9407369..353cdc5 100644 --- a/man/deedee_qqmult.Rd +++ b/man/deedee_qqmult.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee_qqmult.R +% Please edit documentation in R/old_deedee_qqmult.R \name{deedee_qqmult} \alias{deedee_qqmult} \title{DeeDee QQ Plot with Multiple Contrasts} diff --git a/man/deedee_scatter.Rd b/man/deedee_scatter.Rd index 95f992c..7519f7d 100644 --- a/man/deedee_scatter.Rd +++ b/man/deedee_scatter.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee_scatter.R +% Please edit documentation in R/old_deedee_scatter.R \name{deedee_scatter} \alias{deedee_scatter} \title{DeeDee logFC Scatter Plot} diff --git a/man/deedee_summary.Rd b/man/deedee_summary.Rd index c110422..d35a697 100644 --- a/man/deedee_summary.Rd +++ b/man/deedee_summary.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee_summary.R +% Please edit documentation in R/old_deedee_summary.R \name{deedee_summary} \alias{deedee_summary} \title{DeeDee Summary} diff --git a/man/deedee_upset.Rd b/man/deedee_upset.Rd index 2adc397..3210857 100644 --- a/man/deedee_upset.Rd +++ b/man/deedee_upset.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee_upset.R +% Please edit documentation in R/old_deedee_upset.R \name{deedee_upset} \alias{deedee_upset} \title{DeeDee UpSet Plot} diff --git a/man/deedee_venn.Rd b/man/deedee_venn.Rd index fbc07a1..b9735b0 100644 --- a/man/deedee_venn.Rd +++ b/man/deedee_venn.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/deedee_venn.R +% Please edit documentation in R/old_deedee_venn.R \name{deedee_venn} \alias{deedee_venn} \title{DeeDee Venn Diagram} diff --git a/man/del.Rd b/man/del.Rd new file mode 100644 index 0000000..077aac9 --- /dev/null +++ b/man/del.Rd @@ -0,0 +1,13 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee-data.R +\docType{data} +\name{del} +\alias{del} +\title{del} +\description{ +A named list of DE results, in their original format +to be used +} +\details{ +documented creation in ... script +} diff --git a/man/get_dea.Rd b/man/get_dea.Rd new file mode 100644 index 0000000..12bb9b2 --- /dev/null +++ b/man/get_dea.Rd @@ -0,0 +1,22 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDeeExperiment.R +\name{get_dea} +\alias{get_dea} +\title{Title} +\usage{ +get_dea(dde, dea_name) +} +\arguments{ +\item{dde}{TODO} + +\item{dea_name}{TODO} +} +\value{ +TODO +} +\description{ +Title +} +\examples{ +# TODO +} diff --git a/man/get_deas_list.Rd b/man/get_deas_list.Rd new file mode 100644 index 0000000..bb09b03 --- /dev/null +++ b/man/get_deas_list.Rd @@ -0,0 +1,20 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDeeExperiment.R +\name{get_deas_list} +\alias{get_deas_list} +\title{this reminds the format of the DeeDee list object} +\usage{ +get_deas_list(dde) +} +\arguments{ +\item{dde}{todo} +} +\value{ +todo +} +\description{ +this reminds the format of the DeeDee list object +} +\examples{ +# todo +} diff --git a/man/remove_dea.Rd b/man/remove_dea.Rd new file mode 100644 index 0000000..f5083c2 --- /dev/null +++ b/man/remove_dea.Rd @@ -0,0 +1,22 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDeeExperiment.R +\name{remove_dea} +\alias{remove_dea} +\title{Title} +\usage{ +remove_dea(dde, dea_name) +} +\arguments{ +\item{dde}{todo} + +\item{dea_name}{todo} +} +\value{ +todo +} +\description{ +Title +} +\examples{ +# todo +} From 169ade3c370a36984b4e753798811f0eeaa78d7d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 14:31:29 +0100 Subject: [PATCH 026/182] placeholder content for the DeeDee app --- R/DeeDee-app.R | 1392 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 1392 insertions(+) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index e69de29..15a917a 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -0,0 +1,1392 @@ +#' #' DeeDee App +#' #' +#' #' @description `deedee_app` opens the DeeDee Shiny web application, combining +#' #' the functionalities of all other DeeDee functions with a user-friendly +#' #' graphical user interface. +#' #' +#' #' @param deedee_obj An object of the class DeeDeeObject to be analyzed. +#' #' +#' #' @return A shiny app +#' #' @export +#' #' +#' #' @examples +#' #' +#' #' data(DE_results_IFNg_naive, package = "DeeDee") +#' #' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") +#' #' +#' #' data(DE_results_IFNg_both, package = "DeeDee") +#' #' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") +#' #' +#' #' data(DE_results_Salm_naive, package = "DeeDee") +#' #' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") +#' #' +#' #' data(DE_results_Salm_both, package = "DeeDee") +#' #' Salm_both <- deedee_prepare(Salm_both, "DESeq2") +#' #' +#' #' dd_list <- list( +#' #' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, +#' #' Salm_naive = Salm_naive, Salm_both = Salm_both +#' #' ) +#' #' +#' #' if (interactive()) { +#' #' deedee_app(dd_list) +#' #' } +#' deedee_app <- function(deedee_obj = NULL) { +#' +#' # ---------------------------------------------------------------------------- +#' # --------------------------------- U I -------------------------------------- +#' # ---------------------------------------------------------------------------- +#' +#' deedee_ui <- shiny::navbarPage("DeeDee", +#' id = "tabs", +#' theme = shinythemes::shinytheme("flatly"), +#' +#' +#' # ----------------------------- data input --------------------------------- +#' shiny::tabPanel( +#' "Input", +#' shiny::fluidRow( +#' shiny::column( +#' 8, +#' shiny::fileInput("inp", "Upload your DEA results or DeeDee objects", +#' multiple = TRUE, +#' accept = c(".rds", ".txt", ".xlsx"), +#' placeholder = "No files selected" +#' ), +#' shiny::tableOutput("inp_infobox") +#' ), +#' shiny::column( +#' 4, +#' shiny::selectInput("organism", "Organism", +#' choices = list( +#' "Human" = "org.Hs.eg.db", +#' "Mouse" = "org.Mm.eg.db", +#' "Fly" = "org.Dm.eg.db", +#' "Rat" = "org.Rn.eg.db" +#' ) +#' ), +#' shiny::uiOutput("key_inp"), +#' shiny::uiOutput("datasets"), +#' shiny::conditionalPanel( +#' "output.inp_infobox", +#' shiny::downloadButton( +#' "inp_download", +#' "Download DeeDee object (.RDS)" +#' ) +#' ) +#' ) +#' ), +#' shinyBS::bsCollapse( +#' shinyBS::bsCollapsePanel("INFO", +#' shiny::includeMarkdown(system.file("extdata", +#' "input.md", +#' package = "DeeDee" +#' )), +#' style = "primary" +#' ) +#' ), +#' +#' # shiny::downloadButton("vignette", +#' # "Download DeeDee Package vignette (.html)") +#' ), +#' +#' +#' # ------------------------------- scatter ---------------------------------- +#' shiny::tabPanel( +#' "Scatterplot", +#' shiny::fluidRow( +#' shiny::column( +#' 4, +#' shiny::uiOutput("scatter_choices1"), +#' shiny::uiOutput("scatter_choices2"), +#' shiny::selectInput("scatter_color_by", "Color by", +#' choices = list( +#' "1st p-value" = "pval1", +#' "2nd p-value" = "pval2" +#' ), +#' selected = "pval1" +#' ), +#' shiny::numericInput("scatter_pthresh", "P-value threshold", +#' value = 0.05, min = 0.01, max = 1, step = 0.01 +#' ), +#' shiny::actionButton("ora_button", "Over-representation analysis") +#' ), +#' shiny::column( +#' 8, +#' shinycssloaders::withSpinner( +#' shiny::plotOutput("scatter", +#' # dblclick = "scatter_dblclick", +#' brush = shiny::brushOpts( +#' id = "scatter_brush", +#' resetOnNew = FALSE +#' ) +#' ) +#' ) +#' ) +#' ), +#' shinyBS::bsCollapse( +#' shinyBS::bsCollapsePanel("INFO", +#' shiny::includeMarkdown(system.file("extdata", +#' "scatter.md", +#' package = "DeeDee" +#' )), +#' style = "primary" +#' ) +#' ), +#' shinyBS::bsModal( +#' id = "modalExample", +#' title = "Gene Ontology over-representation analysis", +#' trigger = "ora_button", +#' size = "large", +#' shinycssloaders::withSpinner(shiny::plotOutput("scatter_ora")), +#' shiny::downloadButton( +#' "ora_download", +#' "Download enrichment result object (.RDS)" +#' ) +#' ), +#' shiny::downloadButton( +#' "scatter_brush_download", +#' "Download brushed genes (.xlsx)" +#' ), +#' shiny::tableOutput("scatter_brush_info") +#' ), +#' +#' +#' # ------------------------------- heatmap ---------------------------------- +#' shiny::tabPanel( +#' "Heatmap", +#' id = "heatmap", +#' shiny::fluidRow( +#' shiny::column( +#' 4, +#' shiny::numericInput("heatmap_show_first", +#' "Show first", +#' value = 25, +#' min = 1 +#' ), +#' shiny::checkboxInput("heatmap_show_gene_names", +#' "Show gene names", +#' value = FALSE +#' ), +#' shiny::checkboxInput("heatmap_showNA", +#' "Show NA", +#' value = FALSE +#' ), +#' shiny::selectInput("heatmap_dist", "Distance measure", +#' choices = list( +#' "Euclidean" = "euclidean", +#' "Manhattan" = "manhattan", +#' "Pearson" = "pearson", +#' "Spearman" = "spearman" +#' ), +#' selected = "euclidean" +#' ), +#' shiny::selectInput("heatmap_clust", "Clustering method", +#' choices = list( +#' "Single" = "single", +#' "Complete" = "complete", +#' "Average" = "average", +#' "Centroid" = "centroid" +#' ), +#' selected = "average" +#' ), +#' shiny::numericInput("heatmap_pthresh", "P-value threshold", +#' value = 0.05, min = 0.01, max = 1, step = 0.01 +#' ), +#' shiny::actionButton("heatmap_action", "Create heatmap") +#' ), +#' shiny::column( +#' 8, +#' shiny::textOutput("heatmap_errors"), +#' shiny::conditionalPanel( +#' "output.heatmap_errors == ''", +#' shinycssloaders::withSpinner( +#' InteractiveComplexHeatmap:: +#' InteractiveComplexHeatmapOutput() +#' ) +#' ) +#' ) +#' ), +#' shinyBS::bsCollapse( +#' shinyBS::bsCollapsePanel("INFO", +#' shiny::includeMarkdown(system.file("extdata", +#' "heatmap.md", +#' package = "DeeDee" +#' )), +#' style = "primary" +#' ) +#' ) +#' ), +#' +#' +#' # -------------------------------- venn ------------------------------------ +#' shiny::tabPanel( +#' "Venn Diagram", +#' shiny::fluidRow( +#' shiny::column( +#' 4, +#' shiny::selectInput("venn_mode", "Mode", +#' choices = list( +#' "Up" = "up", +#' "Down" = "down", +#' "Both" = "both" +#' ), +#' selected = "both" +#' ), +#' shiny::numericInput("venn_pthresh", "P-value threshold", +#' value = 0.05, min = 0.01, max = 1, step = 0.01 +#' ) +#' ), +#' shiny::column( +#' 8, +#' shinycssloaders::withSpinner( +#' shiny::plotOutput("venn") +#' ) +#' ) +#' ), +#' shinyBS::bsCollapse( +#' shinyBS::bsCollapsePanel("INFO", +#' shiny::includeMarkdown(system.file("extdata", +#' "venn.md", +#' package = "DeeDee" +#' )), +#' style = "primary" +#' ) +#' ) +#' ), +#' +#' +#' # -------------------------------- upSet ----------------------------------- +#' shiny::tabPanel( +#' "UpSet Plot", +#' shiny::fluidRow( +#' shiny::column( +#' 4, +#' shiny::selectInput("upset_mode", "Mode", +#' choices = list( +#' "Up" = "up", +#' "Down" = "down", +#' "Both" = "both" +#' ), +#' selected = "both" +#' ), +#' shiny::conditionalPanel( +#' condition = "input.upset_mode == 'both'", +#' shiny::checkboxInput( +#' "upset_colored", +#' "Coloring", +#' TRUE +#' ) +#' ), +#' shiny::numericInput("upset_minset", "Minimum set size", +#' value = 10, min = 0, step = 1 +#' ), +#' shiny::numericInput("upset_pthresh", "P-value threshold", +#' value = 0.05, min = 0.01, max = 1, step = 0.01 +#' ) +#' ), +#' shiny::column( +#' 8, +#' shinycssloaders::withSpinner( +#' shiny::plotOutput("upset") +#' ) +#' ) +#' ), +#' shinyBS::bsCollapse( +#' shinyBS::bsCollapsePanel("INFO", +#' shiny::includeMarkdown(system.file("extdata", +#' "upset.md", +#' package = "DeeDee" +#' )), +#' style = "primary" +#' ) +#' ) +#' ), +#' +#' +#' # --------------------------------- qq ------------------------------------- +#' shiny::tabPanel( +#' "Quantile-Quantile Plot", +#' shiny::fluidRow( +#' shiny::column( +#' 4, +#' shiny::checkboxInput("qq_multiple", "Multiple", value = FALSE), +#' shiny::conditionalPanel( +#' condition = "!input.qq_multiple", +#' shiny::uiOutput("qq_choices1"), +#' shiny::uiOutput("qq_choices2"), +#' shiny::selectInput("qq_color_by", "Color by", +#' choices = list( +#' "1st p-value" = "pval1", +#' "2nd p-value" = "pval2" +#' ), +#' selected = "pval1" +#' ), +#' shiny::checkboxInput("qq_line", "As line", value = FALSE) +#' ), +#' shiny::conditionalPanel( +#' condition = "input.qq_multiple", +#' shiny::uiOutput("qq_ref"), +#' ), +#' shiny::numericInput("qq_pthresh", "P-value threshold", +#' value = 0.05, min = 0.01, max = 1, step = 0.01 +#' ) +#' ), +#' shiny::column( +#' 8, +#' shiny::conditionalPanel( +#' condition = "!input.qq_multiple", +#' shinycssloaders::withSpinner( +#' shiny::plotOutput("qq", +#' brush = "qq_brush" +#' ) +#' ) +#' ), +#' shiny::conditionalPanel( +#' condition = "input.qq_multiple", +#' shinycssloaders::withSpinner( +#' shiny::plotOutput("qq_mult") +#' ) +#' ) +#' ) +#' ), +#' shinyBS::bsCollapse( +#' shinyBS::bsCollapsePanel("INFO", +#' shiny::includeMarkdown(system.file("extdata", +#' "qq.md", +#' package = "DeeDee" +#' )), +#' style = "primary" +#' ) +#' ), +#' shiny::conditionalPanel( +#' condition = "!input.qq_multiple", +#' shiny::downloadButton( +#' "qq_brush_download", +#' "Download brushed genes (.xlsx)" +#' ), +#' shiny::tableOutput("qq_brush_info") +#' ) +#' ), +#' +#' +#' # --------------------------------- cat ------------------------------------ +#' shiny::tabPanel( +#' "Concordance At the Top Plot", +#' shiny::fluidRow( +#' shiny::column( +#' 4, +#' shiny::selectInput("cat_mode", "Mode", +#' choices = list( +#' "Up" = "up", +#' "Down" = "down", +#' "Both" = "both" +#' ), +#' selected = "up" +#' ), +#' shiny::numericInput("cat_maxrank", +#' "Max rank", +#' value = 1000, +#' min = 1 +#' ), +#' shiny::uiOutput("cat_choice"), +#' shiny::numericInput("cat_pthresh", "P-value threshold", +#' value = 0.05, min = 0.01, max = 1, step = 0.01 +#' ) +#' ), +#' shiny::column( +#' 8, +#' shinycssloaders::withSpinner( +#' shiny::plotOutput("cat") +#' ) +#' ) +#' ), +#' shinyBS::bsCollapse( +#' shinyBS::bsCollapsePanel("INFO", +#' shiny::includeMarkdown(system.file("extdata", +#' "cat.md", +#' package = "DeeDee" +#' )), +#' style = "primary" +#' ) +#' ) +#' ), +#' +#' # ------------------------------- summary ---------------------------------- +#' shiny::tabPanel( +#' "Summary", +#' shiny::numericInput("sum_pthresh", "P-value threshold", +#' value = 0.05, min = 0.01, max = 1, step = 0.01 +#' ), +#' shiny::actionButton("sum_button", "Create Summary"), +#' shinyBS::bsModal( +#' id = "sum_modal", +#' title = "DeeDee Summary", +#' trigger = "sum_button", +#' size = "large", +#' shiny::fluidPage( +#' shiny::downloadButton( +#' "sum_download", +#' "Download your DeeDee Summary (.html)" +#' ), +#' shinycssloaders::withSpinner(shiny::uiOutput("show_html_summary")) +#' ) +#' ), +#' shiny::fluidRow( +#' shinydashboard::tabBox( +#' title = "", +#' width = 12, +#' id = "sum_params", +#' shiny::tabPanel( +#' "Scatterplot", +#' shiny::uiOutput("sum_scatter_choices1"), +#' shiny::uiOutput("sum_scatter_choices2"), +#' shiny::selectInput("sum_scatter_color_by", "Color by", +#' choices = list( +#' "1st p-value" = "pval1", +#' "2nd p-value" = "pval2" +#' ), +#' selected = "pval1" +#' ) +#' ), +#' shiny::tabPanel( +#' "Heatmap", +#' shiny::numericInput("sum_heatmap_show_first", +#' "Show first", +#' value = 25, +#' min = 1 +#' ), +#' shiny::checkboxInput("sum_heatmap_show_gene_names", +#' "Show gene names", +#' value = FALSE +#' ), +#' shiny::checkboxInput("sum_heatmap_show_na", +#' "Show NA", +#' value = FALSE +#' ), +#' shiny::selectInput("sum_heatmap_dist", "Distance measure", +#' choices = list( +#' "Euclidean" = "euclidean", +#' "Manhattan" = "manhattan", +#' "Pearson" = "pearson", +#' "Spearman" = "spearman" +#' ), +#' selected = "euclidean" +#' ), +#' shiny::selectInput("sum_heatmap_clust", "Clustering method", +#' choices = list( +#' "Single" = "single", +#' "Complete" = "complete", +#' "Average" = "average", +#' "Centroid" = "centroid" +#' ), +#' selected = "average" +#' ) +#' ), +#' shiny::tabPanel( +#' "Venn Diagram", +#' shiny::selectInput("sum_venn_mode", "Mode", +#' choices = list( +#' "Up" = "up", +#' "Down" = "down", +#' "Both" = "both" +#' ), +#' selected = "both" +#' ) +#' ), +#' shiny::tabPanel( +#' "UpSet Plot", +#' shiny::selectInput("sum_upset_mode", "Mode", +#' choices = list( +#' "Up" = "up", +#' "Down" = "down", +#' "Both" = "both" +#' ), +#' selected = "both" +#' ), +#' shiny::conditionalPanel( +#' condition = "input.sum_upset_mode == 'both'", +#' shiny::checkboxInput( +#' "sum_upset_colored", +#' "Coloring", +#' TRUE +#' ) +#' ), +#' shiny::numericInput("sum_upset_min_setsize", "Minimum set size", +#' value = 10, min = 0, step = 1 +#' ) +#' ), +#' shiny::tabPanel( +#' "Quantile-Quantile Plot", +#' shiny::uiOutput("sum_qq_ref"), +#' ), +#' shiny::tabPanel( +#' "Concordance At the Top Plot", +#' shiny::selectInput("sum_cat_mode", "Mode", +#' choices = list( +#' "Up" = "up", +#' "Down" = "down", +#' "Both" = "both" +#' ), +#' selected = "up" +#' ), +#' shiny::numericInput("sum_cat_maxrank", +#' "Max rank", +#' value = 1000, +#' min = 1 +#' ), +#' shiny::uiOutput("sum_cat_choice") +#' ) +#' ) +#' ), +#' shinyBS::bsCollapse( +#' shinyBS::bsCollapsePanel("INFO", +#' shiny::includeMarkdown(system.file("extdata", +#' "summary.md", +#' package = "DeeDee" +#' )), +#' style = "primary" +#' ) +#' ) +#' ) +#' ) +#' +#' +#' +#' # ---------------------------------------------------------------------------- +#' # ----------------------------- S E R V E R ---------------------------------- +#' # ---------------------------------------------------------------------------- +#' +#' deedee_server <- function(input, output, session) { +#' +#' # ----------------------------- data input --------------------------------- +#' output$key_inp <- shiny::renderUI({ +#' shiny::req(input$organism) +#' anno <- input$organism +#' require(anno, character.only = TRUE) +#' shiny::selectInput("key_type", +#' "Key type of gene IDs", +#' choices = keytypes(get(anno)) +#' ) +#' }) +#' +#' mydata <- shiny::reactive({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' +#' ext <- c() +#' res <- list() +#' +#' if (!is.null(deedee_obj)) { +#' if (class(deedee_obj) == "DeeDeeObject") { +#' ext[1] <- "arg" +#' # df <- data.frame(filename, type, contrast, genes) +#' res[[1]] <- deedee_obj@DeeDeeList +#' } +#' else { +#' stop("Your argument input is not of type 'DeeDeeObject'. Please check your input and re-open the application.") +#' } +#' } +#' +#' k <- 0 +#' +#' # reading out input files +#' if (length(input$inp[, 1] > 0)) { +#' for (i in (length(ext) + 1):(length(input$inp[, 1]) + length(ext))) { +#' k <- k + 1 +#' ext[i] <- tools::file_ext(input$inp[k, "datapath"]) +#' shiny::validate(shiny::need( +#' ext[[i]] == "rds" || +#' ext[[i]] == "RDS" || +#' ext[[i]] == "xlsx" || +#' ext[[i]] == "txt", +#' "Please upload only .RDS, .xlsx or .txt files" +#' )) +#' +#' # .RDS input +#' if (ext[[i]] == "rds" || ext[[i]] == "RDS") { +#' res[[i]] <- readRDS(input$inp[[k, "datapath"]]) +#' res[[i]] <- rds_input(obj = res[[i]], +#' nm = input$inp[[k, "name"]]) +#' +#' # .xlsx input +#' } else if (ext[[i]] == "xlsx") { +#' sheets <- readxl::excel_sheets(input$inp[[k, "datapath"]]) +#' res[[i]] <- xlsx_input(obj = sheets, +#' path= input$inp[[k, "datapath"]], +#' nm = input$inp[k, "name"]) +#' +#' # .txt input +#' } else if (ext[[i]] == "txt") { +#' temp <- utils::read.table(input$inp[[k, "datapath"]]) +#' res[[i]] <- list(temp) +#' names(res[[i]]) <- unlist(strsplit(input$inp[k, "name"], +#' split = ".", +#' fixed = TRUE +#' ))[1] +#' } else { +#' return(NULL) +#' } +#' } +#' } +#' +#' # merging input data structures +#' dat <- list() +#' for (i in 1:length(res)) { +#' for (j in 1:length(res[[i]])) { +#' checkmate::assert_subset(names(res[[i]][[j]]), c("logFC", "pval")) +#' dat[[names(res[[i]])[[j]]]] <- res[[i]][[j]] +#' } +#' } +#' +#' obj <- DeeDeeObject(DeeDeeList = dat) +#' +#' return(obj) +#' }) +#' +#' output$datasets <- shiny::renderUI({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::checkboxGroupInput("select_datasets", +#' "Select datasets to be used", +#' choices = names(mydata()@DeeDeeList), +#' selected = names(mydata()@DeeDeeList) +#' ) +#' }) +#' +#' mydata_use <- shiny::reactive({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' use <- input$select_datasets +#' dat2 <- list() +#' for (i in use) { +#' dat2[i] <- mydata()@DeeDeeList[i] +#' } +#' return(dat2) +#' }) +#' +#' output$inp_download <- shiny::downloadHandler( +#' filename = "DeeDee_object.RDS", +#' content = function(file) { +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' dl <- DeeDeeObject(DeeDeeList = mydata_use()) +#' saveRDS(dl, file) +#' } +#' ) +#' +#' output$inp_infobox <- shiny::renderTable({ +#' shiny::validate(shiny::need( +#' !is.null(mydata()@DeeDeeList), +#' "Faulty input data provided." +#' )) +#' +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' +#' input_infobox(deedee_obj = deedee_obj, +#' sets = input$inp, +#' md = mydata()) +#' }) +#' +#' +#' # ------------------------------- scatter ---------------------------------- +#' # --- selectors --- +#' output$scatter_choices1 <- shiny::renderUI({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::selectInput("scatter_select1", +#' "1st data set", +#' choices = names(mydata_use()) +#' ) +#' }) +#' +#' output$scatter_choices2 <- shiny::renderUI({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::selectInput("scatter_select2", +#' "2nd data set", +#' selected = names(mydata_use())[2], +#' choices = names(mydata_use()) +#' ) +#' }) +#' +#' # --- plot output --- +#' ranges <- shiny::reactiveValues(x = NULL, y = NULL) +#' +#' output$scatter <- shiny::renderPlot({ +#' shiny::validate( +#' shiny::need( +#' length(mydata()@DeeDeeList) >= 2, +#' "Please upload at least two contrasts." +#' ) +#' ) +#' shiny::validate( +#' shiny::need( +#' length(mydata_use()) >= 2, +#' "Please select at least two contrasts." +#' ) +#' ) +#' +#' sel1 <- match(input$scatter_select1, names(mydata_use())) +#' sel2 <- match(input$scatter_select2, names(mydata_use())) +#' shiny::req(sel1) +#' shiny::req(sel2) +#' res <- deedee_scatter(mydata_use(), +#' select1 = sel1, +#' select2 = sel2, +#' color_by = input$scatter_color_by, +#' pthresh = input$scatter_pthresh +#' ) +#' shiny::validate( +#' shiny::need(!is.null(res), "No common genes in input datasets.") +#' ) +#' res + +#' ggplot2::coord_cartesian( +#' xlim = ranges$x, +#' ylim = ranges$y, +#' expand = FALSE +#' ) +#' }) +#' +#' # --- brushing --- +#' # scatter_download_button <- shiny::renderUI( +#' # conditionalPanel("output.scatter_brushed()", +#' # downloadButton("scatter_brush_download", +#' # "Download brushed genes (.txt)"))) +#' +#' scatter_brushed <- shiny::reactive({ +#' shiny::req(input$scatter_brush) +#' df <- data.frame( +#' x = mydata_use()[[input$scatter_select1]], +#' y = mydata_use()[[input$scatter_select2]] +#' ) +#' +#' df <- subset(df, x.pval < 0.05 & y.pval < 0.05) +#' +#' names(df) <- c( +#' paste(input$scatter_select1, ".logFC", sep = ""), +#' paste(input$scatter_select1, ".pval", sep = ""), +#' paste(input$scatter_select2, ".logFC", sep = ""), +#' paste(input$scatter_select2, ".pval", sep = "") +#' ) +#' shiny::brushedPoints(df, +#' input$scatter_brush, +#' xvar = paste(input$scatter_select1, ".logFC", sep = ""), +#' yvar = paste(input$scatter_select2, ".logFC", sep = "") +#' ) +#' }) +#' +#' output$scatter_brush_info <- shiny::renderTable( +#' { +#' shiny::req(scatter_brushed()) +#' scatter_brushed() +#' }, +#' rownames = TRUE +#' ) +#' +#' output$scatter_brush_download <- shiny::downloadHandler( +#' filename = "scatter_brushed_genes.xlsx", +#' content = function(file) { +#' shiny::req(input$scatter_brush) +#' bru <- tibble::rownames_to_column(scatter_brushed()) +#' first <- data.frame(bru[1], bru[2], bru[3]) +#' nm1 <- unlist(strsplit(names(first)[2], +#' split = ".", +#' fixed = TRUE +#' ))[1] +#' names(first) <- c("rowname", "logFC", "pval") +#' second <- data.frame(bru[1], bru[4], bru[5]) +#' nm2 <- unlist(strsplit(names(second)[2], +#' split = ".", +#' fixed = TRUE +#' ))[1] +#' names(second) <- c("rowname", "logFC", "pval") +#' l <- list(first, second) +#' names(l) <- c(nm1, nm2) +#' writexl::write_xlsx(l, file, col_names = TRUE) +#' } +#' ) +#' +#' # --- enrich --- +#' enrich <- shiny::reactive({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::validate(shiny::need( +#' scatter_brushed(), +#' "No brushed genes." +#' )) +#' sel1 <- match(input$scatter_select1, names(mydata_use())) +#' sel2 <- match(input$scatter_select2, names(mydata_use())) +#' shiny::req(sel1) +#' shiny::req(sel2) +#' data <- list(mydata_use()[[sel1]], mydata_use()[[sel2]]) +#' res <- ora( +#' geneList = scatter_brushed(), +#' universe = data, +#' orgDB = input$organism, +#' key_type = input$key_type +#' ) +#' shiny::validate(shiny::need( +#' class(res) == "enrichResult", +#' "Not working." +#' )) +#' +#' return(res) +#' }) +#' +#' output$scatter_ora <- shiny::renderPlot({ +#' shiny::validate(shiny::need( +#' !is.null(enrich()), +#' "Something went wrong..." +#' )) +#' en <- enrich() +#' en_df <- as.data.frame(en) +#' shiny::validate(shiny::need( +#' nrow(en_df) > 0, +#' "No enriched terms found." +#' )) +#' options(ggrepel.max.overlaps = Inf) +#' plt <- enrichplot::emapplot(enrichplot::pairwise_termsim(en)) +#' shiny::validate(shiny::need( +#' !is.null(plt), +#' "No enriched terms found." +#' )) +#' print(plt) +#' }) +#' +#' output$ora_download <- shiny::downloadHandler( +#' filename = "enrichment_results.RDS", +#' content = function(file) { +#' shiny::req(!is.null(enrich())) +#' saveRDS(enrich(), file) +#' } +#' ) +#' +#' # ------------------------------- heatmap ---------------------------------- +#' output$heatmap_errors <- shiny::renderText({ +#' shiny::validate( +#' shiny::need( +#' length(mydata()@DeeDeeList) >= 2, +#' "Please upload at least two contrasts." +#' ) +#' ) +#' shiny::validate( +#' shiny::need( +#' length(mydata_use()) >= 2, +#' "Please select at least two contrasts." +#' ) +#' ) +#' shiny::validate( +#' shiny::need( +#' !is.null(heatmap_output()), +#' "No common genes in input datasets." +#' ) +#' ) +#' "" +#' }) +#' +#' heatmap_output <- shiny::reactive({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::req(input$heatmap_show_first) +#' shiny::req(mydata_use()) +#' res <- deedee_heatmap(mydata_use(), +#' show_first = input$heatmap_show_first, +#' show_gene_names = input$heatmap_show_gene_names, +#' dist = input$heatmap_dist, +#' clust = input$heatmap_clust, +#' pthresh = input$heatmap_pthresh, +#' show_na = input$heatmap_showNA +#' ) +#' shiny::validate( +#' shiny::need(!is.null(res), "No common genes in input datasets.") +#' ) +#' +#' res <- ComplexHeatmap::draw(res) +#' +#' return(res) +#' }) +#' +#' listen <- shiny::reactive({ +#' list( +#' input$heatmap_show_first, +#' input$heatmap_show_gene_names, +#' input$heatmap_dist, +#' input$heatmap_clust, +#' input$heatmap_pthresh, +#' input$heatmap_showNA, +#' mydata_use() +#' ) +#' }) +#' +#' global <- reactiveValues(notify = FALSE) +#' +#' shiny::observeEvent(listen(), { +#' global$notify <- TRUE +#' }) +#' +#' shiny::observeEvent(input$tabs, { +#' if (input$tabs == "Heatmap") { +#' if (global$notify == TRUE) { +#' shiny::showNotification("Something changed. Click 'Create heatmap' to reload.", +#' duration = NULL, +#' type = "warning", +#' id = "heatmap_warning" +#' ) +#' } +#' } else { +#' shiny::removeNotification("heatmap_warning") +#' } +#' }) +#' +#' shiny::observeEvent(listen(), { +#' req(input$tabs == "Heatmap") +#' shiny::showNotification("Something changed. Click 'Create heatmap' to reload.", +#' duration = NULL, +#' type = "warning", +#' id = "heatmap_warning" +#' ) +#' }) +#' +#' shiny::observeEvent(input$heatmap_action, { +#' shiny::req(length(mydata_use()) >= 2) +#' global$notify <- FALSE +#' InteractiveComplexHeatmap::makeInteractiveComplexHeatmap( +#' input, +#' output, +#' session, +#' heatmap_output() +#' ) +#' shiny::removeNotification("heatmap_warning") +#' }) +#' +#' +#' # -------------------------------- venn ------------------------------------ +#' output$venn <- shiny::renderPlot({ +#' shiny::validate( +#' shiny::need( +#' length(mydata()@DeeDeeList) >= 2, +#' "Please upload at least two contrasts." +#' ) +#' ) +#' shiny::validate( +#' shiny::need( +#' length(mydata_use()) >= 2, +#' "Please select at least two contrasts." +#' ) +#' ) +#' +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' res <- deedee_venn(mydata_use(), +#' mode = input$venn_mode, +#' pthresh = input$venn_pthresh +#' ) +#' +#' shiny::validate( +#' shiny::need( +#' !is.null(res), +#' "No genes in your datasets. Maybe your specified p-value threshold is too low?" +#' ) +#' ) +#' +#' res +#' }) +#' +#' +#' # -------------------------------- upset ----------------------------------- +#' output$upset <- shiny::renderPlot({ +#' shiny::validate( +#' shiny::need( +#' length(mydata()@DeeDeeList) >= 2, +#' "Please upload at least two contrasts." +#' ) +#' ) +#' shiny::validate( +#' shiny::need( +#' length(mydata_use()) >= 2, +#' "Please select at least two contrasts." +#' ) +#' ) +#' +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' if (input$upset_mode == "both" && input$upset_colored) { +#' mode <- "both_colored" +#' } else { +#' mode <- input$upset_mode +#' } +#' res <- deedee_upset(mydata_use(), +#' mode = mode, +#' pthresh = input$upset_pthresh, +#' min_setsize = input$upset_minset +#' ) +#' +#' shiny::validate( +#' shiny::need( +#' !is.null(res), +#' "No genes in your datasets. Maybe your specified p-value threshold is too low?" +#' ) +#' ) +#' res +#' }) +#' +#' +#' # --------------------------------- qq ------------------------------------- +#' output$qq_choices1 <- shiny::renderUI({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::selectInput("qq_select1", +#' "1st data set", +#' choices = names(mydata_use()) +#' ) +#' }) +#' +#' output$qq_choices2 <- shiny::renderUI({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::selectInput("qq_select2", +#' "2nd data set", +#' selected = names(mydata_use())[2], +#' choices = names(mydata_use()) +#' ) +#' }) +#' +#' output$qq_ref <- shiny::renderUI({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::selectInput("qq_reference", +#' "Reference", +#' choices = names(mydata_use()) +#' ) +#' }) +#' +#' output$qq <- shiny::renderPlot({ +#' shiny::validate( +#' shiny::need( +#' length(mydata()@DeeDeeList) >= 2, +#' "Please upload at least two contrasts." +#' ) +#' ) +#' shiny::validate( +#' shiny::need( +#' length(mydata_use()) >= 2, +#' "Please select at least two contrasts." +#' ) +#' ) +#' +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' sel1 <- match(input$qq_select1, names(mydata_use())) +#' sel2 <- match(input$qq_select2, names(mydata_use())) +#' shiny::req(sel1) +#' shiny::req(sel2) +#' res <- deedee_qq(mydata_use(), +#' select1 = sel1, +#' select2 = sel2, +#' color_by = input$qq_color_by, +#' pthresh = input$qq_pthresh, +#' as_line = input$qq_line +#' ) +#' +#' shiny::validate( +#' shiny::need( +#' !is.null(res), +#' "No genes in your datasets. Maybe your specified p-value threshold is too low?" +#' ) +#' ) +#' +#' res +#' }) +#' +#' output$qq_mult <- shiny::renderPlot({ +#' shiny::validate( +#' shiny::need( +#' length(mydata()@DeeDeeList) >= 2, +#' "Please upload at least two contrasts." +#' ) +#' ) +#' shiny::validate( +#' shiny::need( +#' length(mydata_use()) >= 2, +#' "Please select at least two contrasts." +#' ) +#' ) +#' +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' ref <- match(input$qq_reference, names(mydata_use())) +#' shiny::req(ref) +#' res <- deedee_qqmult(mydata_use(), +#' ref = ref, +#' pthresh = input$qq_pthresh +#' ) +#' +#' shiny::validate( +#' shiny::need( +#' !is.null(res), +#' "No genes in your datasets. Maybe your specified p-value threshold is too low?" +#' ) +#' ) +#' +#' res +#' }) +#' +#' qq_brushed <- shiny::reactive({ +#' shiny::req(input$qq_brush) +#' x <- mydata()@DeeDeeList[[input$qq_select1]]$logFC +#' y <- mydata()@DeeDeeList[[input$qq_select2]]$logFC +#' pval1 <- mydata()@DeeDeeList[[input$qq_select2]]$pval +#' pval2 <- mydata()@DeeDeeList[[input$qq_select2]]$pval +#' names(x) <- row.names(mydata()@DeeDeeList[[input$qq_select2]]) +#' names(y) <- row.names(mydata()@DeeDeeList[[input$qq_select2]]) +#' +#' sx_idx <- order(x) +#' sy_idx <- order(y) +#' +#' sx <- x[sx_idx] +#' sy <- y[sy_idx] +#' pval1 <- pval1[sx_idx] +#' pval2 <- pval2[sy_idx] +#' +#' lenx <- length(sx) +#' leny <- length(sy) +#' +#' if (leny < lenx) { +#' sx <- stats::approx(1L:lenx, sx, n = leny)$y +#' pval1 <- stats::approx(1L:lenx, pval1, n = leny)$y +#' } +#' if (leny > lenx) { +#' sy <- stats::approx(1L:leny, sy, n = lenx)$y +#' pval2 <- stats::approx(1L:leny, pval2, n = lenx)$y +#' } +#' +#' sx <- tibble::rownames_to_column(as.data.frame(sx)) +#' sx[3] <- pval1 +#' sy <- tibble::rownames_to_column(as.data.frame(sy)) +#' sy[3] <- pval2 +#' +#' qq <- data.frame( +#' x = sx, +#' y = sy +#' ) +#' +#' names(qq) <- c( +#' paste(input$qq_select1, "gene", sep = "."), +#' paste(input$qq_select1, "logFC", sep = "."), +#' paste(input$qq_select1, "pval", sep = "."), +#' paste(input$qq_select2, "gene", sep = "."), +#' paste(input$qq_select2, "logFC", sep = "."), +#' paste(input$qq_select2, "pval", sep = ".") +#' ) +#' +#' temp1 <- paste(input$qq_select1, "logFC", sep = ".") +#' temp2 <- paste(input$qq_select2, "logFC", sep = ".") +#' +#' shiny::brushedPoints(qq, +#' input$qq_brush, +#' xvar = temp1, +#' yvar = temp2 +#' ) +#' }) +#' +#' output$qq_brush_info <- shiny::renderTable( +#' { +#' shiny::req(qq_brushed()) +#' qq_brushed() +#' }, +#' rownames = FALSE +#' ) +#' +#' output$qq_brush_download <- shiny::downloadHandler( +#' filename = "qq_brushed_genes.xlsx", +#' content = function(file) { +#' shiny::req(input$qq_brush) +#' bru <- qq_brushed() +#' first <- data.frame(bru[1], bru[2], bru[3]) +#' nm1 <- unlist(strsplit(names(first)[2], +#' split = ".", +#' fixed = TRUE +#' ))[1] +#' names(first) <- c("rowname", "logFC", "pval") +#' second <- data.frame(bru[4], bru[5], bru[6]) +#' nm2 <- unlist(strsplit(names(second)[2], +#' split = ".", +#' fixed = TRUE +#' ))[1] +#' names(second) <- c("rowname", "logFC", "pval") +#' l <- list(first, second) +#' names(l) <- c(nm1, nm2) +#' writexl::write_xlsx(l, file, col_names = TRUE) +#' } +#' ) +#' +#' +#' # --------------------------------- cat ------------------------------------ +#' output$cat_choice <- shiny::renderUI({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::selectInput("cat_ref", +#' "Reference contrast", +#' selected = names(mydata_use())[1], +#' choices = names(mydata_use()) +#' ) +#' }) +#' +#' output$cat <- shiny::renderPlot({ +#' shiny::validate( +#' shiny::need( +#' length(mydata()@DeeDeeList) >= 2, +#' "Please upload at least two contrasts." +#' ) +#' ) +#' shiny::validate( +#' shiny::need( +#' length(mydata_use()) >= 2, +#' "Please select at least two contrasts." +#' ) +#' ) +#' +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::req(input$cat_maxrank) +#' shiny::req(input$cat_ref) +#' +#' ref <- match(input$cat_ref, names(mydata_use())) +#' res <- deedee_cat(mydata_use(), +#' ref = ref, +#' maxrank = input$cat_maxrank, +#' mode = input$cat_mode, +#' pthresh = input$cat_pthresh +#' ) +#' +#' shiny::validate( +#' shiny::need( +#' !is.null(res), +#' "No genes in your datasets. Maybe your specified p-value threshold is too low?" +#' ) +#' ) +#' +#' res +#' }) +#' +#' # ------------------------------- summary ---------------------------------- +#' output$sum_scatter_choices1 <- shiny::renderUI({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::selectInput("sum_scatter_select1", +#' "1st data set", +#' choices = names(mydata_use()) +#' ) +#' }) +#' +#' output$sum_scatter_choices2 <- shiny::renderUI({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::selectInput("sum_scatter_select2", +#' "2nd data set", +#' selected = names(mydata_use())[2], +#' choices = names(mydata_use()) +#' ) +#' }) +#' +#' output$sum_qq_ref <- shiny::renderUI({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::selectInput("sum_qqmult_ref", +#' "Reference", +#' selected = names(mydata_use())[1], +#' choices = names(mydata_use()) +#' ) +#' }) +#' +#' output$sum_cat_choice <- shiny::renderUI({ +#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) +#' shiny::selectInput("sum_cat_ref", +#' "Reference contrast", +#' selected = names(mydata_use())[1], +#' choices = names(mydata_use()) +#' ) +#' }) +#' +#' summary <- reactive({ +#' shiny::validate( +#' shiny::need( +#' length(mydata()@DeeDeeList) >= 2, +#' "Please upload at least two contrasts." +#' ) +#' ) +#' shiny::validate( +#' shiny::need( +#' length(mydata_use()) >= 2, +#' "Please select at least two contrasts." +#' ) +#' ) +#' +#' shiny::req(mydata_use()) +#' +#' outfile <- tempfile(fileext = ".html") +#' +#' sc_sel1 <- match(input$sum_scatter_select1, names(mydata_use())) +#' if (is.null(sc_sel1)) { +#' sc_sel1 <- 1 +#' } +#' sc_sel2 <- match(input$sum_scatter_select2, names(mydata_use())) +#' if (is.null(sc_sel2)) { +#' sc_sel2 <- 2 +#' } +#' +#' qq_ref <- match(input$sum_qqmult_ref, names(mydata_use())) +#' if (length(qq_ref) == 0) { +#' qq_ref <- 1 +#' } +#' +#' cat_ref <- match(input$sum_cat_ref, names(mydata_use())) +#' if (length(cat_ref) == 0) { +#' cat_ref <- 1 +#' } +#' +#' if (input$sum_upset_mode == "both" && input$sum_upset_colored) { +#' ups_mode <- "both_colored" +#' } else { +#' ups_mode <- input$sum_upset_mode +#' } +#' +#' shiny::req(sc_sel1) +#' shiny::req(sc_sel2) +#' shiny::req(qq_ref) +#' shiny::req(cat_ref) +#' +#' deedee_summary(mydata_use(), +#' output_path = outfile, +#' overwrite = TRUE, +#' pthresh = input$sum_pthresh, +#' scatter_select1 = sc_sel1, +#' scatter_select2 = sc_sel2, +#' scatter_color_by = input$sum_scatter_color_by, +#' heatmap_show_first = input$sum_heatmap_show_first, +#' heatmap_show_gene_names = input$sum_heatmap_show_gene_names, +#' heatmap_dist = input$sum_heatmap_dist, +#' heatmap_clust = input$sum_heatmap_clust, +#' heatmap_show_na = input$sum_heatmap_show_na, +#' venn_mode = input$sum_venn_mode, +#' upset_mode = ups_mode, +#' upset_min_setsize = input$sum_upset_min_setsize, +#' qqmult_ref = qq_ref, +#' cat_ref = cat_ref, +#' cat_maxrank = input$sum_cat_maxrank, +#' cat_mode = input$sum_cat_mode, +#' silent = TRUE, +#' open_file = FALSE +#' ) +#' +#' return(outfile) +#' }) +#' +#' output$sum_download <- shiny::downloadHandler( +#' filename = "DeeDee_Summary.html", +#' content = function(file) { +#' shiny::req(summary()) +#' +#' file.copy(summary(), file) +#' } +#' ) +#' +#' output$show_html_summary <- shiny::renderUI({ +#' shiny::req(summary()) +#' +#' out <- tempfile(fileext = ".html") +#' +#' xml2::write_html(rvest::html_node(xml2::read_html(summary()), "body"), +#' file = out +#' ) +#' +#' shiny::includeHTML(path = out) +#' }) +#' } +#' +#' +#' # ------------------------------ run application ------------------------------- +#' shiny::shinyOptions(deedee_obj = deedee_obj) +#' shiny::shinyApp(ui = deedee_ui, server = deedee_server) +#' } From ca2d868e8cf27e6e5f348248b058009b45d2826f Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 14:31:54 +0100 Subject: [PATCH 027/182] spots for implementing the imports, was handled by deedee_prepare --- R/DeeDeeExperiment.R | 53 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 53 insertions(+) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index a35778e..171d2e3 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -99,6 +99,59 @@ de_list_checker <- function(del) { } +.importDE_DESeq2 <- function(x) { + # checks TODO: + # correct object format + # contain the right columns + # contain the feature ids + # p value respect the 0-1 interval + +} + + +deedee_import <- function(x) { + + # legacy code: + + # # ----------------------------- argument check ------------------------------ + # choices <- c("DESeq2", "edgeR", "limma") + # checkmate::assertChoice(input_type, choices) + # + # if (input_type == "DESeq2") { + # checkmate::assertClass(data, "DESeqResults") + # logFC <- data$log2FoldChange + # pval <- data$padj + # input <- data.frame(logFC, pval) + # rownames(input) <- data@rownames + # } else if (input_type == "edgeR") { + # checkmate::assertClass(data, "DGEExact") + # logFC <- data[["table"]][["logFC"]] + # pval <- data[["table"]][["PValue"]] + # input <- data.frame(logFC, pval) + # rownames(input) <- data[["genes"]][["genes"]] + # } else if (input_type == "limma") { + # checkmate::assertDataFrame(data, types = "numeric") + # logFC <- data$logFC + # pval <- data$adj.P.Val + # input <- data.frame(logFC, pval) + # rownames(input) <- rownames(data) + # } + # return(input) +} + + +.importDE_edgeR <- function(x) { + +} + +.importDE_limma <- function(x) { + +} + +.importDE_custom <- function(x) { + +} + #' dde : the deedee exp object From 23a1a637fa30099c5296db080e30684e004fa98e Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 14:32:36 +0100 Subject: [PATCH 028/182] newly revamped functions, still with the ddedde name --- R/DeeDee_bars.R | 37 +++++++++++ R/DeeDee_cat.R | 126 +++++++++++++++++++++++++++++++++++++ R/DeeDee_heatmap.R | 141 +++++++++++++++++++++++++++++++++++++++++ R/DeeDee_qq.R | 128 +++++++++++++++++++++++++++++++++++++ R/DeeDee_qqmult.R | 94 +++++++++++++++++++++++++++ R/DeeDee_scatter.R | 112 +++++++++++++++++++++++++++++++++ R/DeeDee_summary.R | 152 ++++++++++++++++++++++++++++++++++++++++++++ R/DeeDee_upset.R | 154 +++++++++++++++++++++++++++++++++++++++++++++ R/DeeDee_venn.R | 100 +++++++++++++++++++++++++++++ 9 files changed, 1044 insertions(+) create mode 100644 R/DeeDee_bars.R create mode 100644 R/DeeDee_cat.R create mode 100644 R/DeeDee_heatmap.R create mode 100644 R/DeeDee_qq.R create mode 100644 R/DeeDee_qqmult.R create mode 100644 R/DeeDee_scatter.R create mode 100644 R/DeeDee_summary.R create mode 100644 R/DeeDee_upset.R create mode 100644 R/DeeDee_venn.R diff --git a/R/DeeDee_bars.R b/R/DeeDee_bars.R new file mode 100644 index 0000000..7c12106 --- /dev/null +++ b/R/DeeDee_bars.R @@ -0,0 +1,37 @@ +#' Title +#' +#' @param dde todo +#' +#' @return todo +#' @export +#' +#' @examples +#' data("de_named_list", package = "DeeDee") +#' library(SummarizedExperiment) +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' del +#' ) +#' dde +ddedde_bars <- function(dde) { + # extract the summary infos + + + # put them together in a proper df + + + # plot via gg + + + + # alternatively: return the df itself +} + diff --git a/R/DeeDee_cat.R b/R/DeeDee_cat.R new file mode 100644 index 0000000..825b2ed --- /dev/null +++ b/R/DeeDee_cat.R @@ -0,0 +1,126 @@ + +#' deedee_cat(dd_list_original, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) + +#' Title +#' +#' @param dde todo +#' @param ref todo +#' @param maxrank todo +#' @param mode todo +#' @param pthresh todo +#' +#' @return todo +#' @export +#' +#' @examples +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' del +#' ) +#' dde +ddedde_cat <- function(dde, + ref = 1, + maxrank = 1000, + mode = "up", + pthresh = 0.05) { + + # checkmate::assert_list(data, type = "data.frame", min.len = 2) + # for (i in 1:length(data)) { + # checkmate::assert_data_frame(data[[i]], type = "numeric") + # } + # checkmate::assert_number(ref, lower = 1, upper = length(data)) + # checkmate::assert_number(pthresh, lower = 0, upper = 1) + # checkmate::assert_number(maxrank, lower = 1) + # choices <- c("up", "down", "both") + # checkmate::assert_choice(mode, choices) + + dea_list <- get_deas_list(dde) + + for (i in 1:length(dea_list)) { + dea_list[i][[1]] <- subset( + dea_list[i][[1]], + dea_list[i][[1]]$padj < pthresh + ) + + if (length(dea_list[i][[1]][[1]]) == 0) { + return(NULL) + } + + dea_list[i][[1]] <- dea_list[i][[1]]["log2FoldChange"] # remove p-value column + colnames(dea_list[i][[1]]) <- c(paste("log2FoldChange", i, sep = "")) + dea_list[i][[1]] <- as.matrix(dea_list[i][[1]]) # conversion to matrix + names <- rownames(dea_list[i][[1]]) + dea_list[i][[1]] <- as.vector(dea_list[i][[1]]) # conversion to vector + names(dea_list[i][[1]]) <- names + if (mode == "up") { + dea_list[i][[1]] <- sort(dea_list[i][[1]], decreasing = TRUE) + } else if (mode == "down") { + dea_list[i][[1]] <- sort(dea_list[i][[1]], decreasing = FALSE) + } else if (mode == "both") { + dea_list[i][[1]] <- abs(dea_list[i][[1]]) + dea_list[i][[1]] <- sort(dea_list[i][[1]], decreasing = TRUE) + } + + dea_list[i][[1]] <- names(dea_list[i][[1]]) + } + + output <- list() + nm <- c() + + for (i in 1:length(dea_list)) { + if (i != ref) { + output[[i]] <- data.frame( + rank = 1:min(maxrank, length(dea_list[i][[1]])), + concordance = NA + ) + + for (j in 1:nrow(output[[i]])) { + intsec <- intersect(dea_list[ref][[1]][1:j], dea_list[i][[1]][1:j]) + output[[i]][[j, "concordance"]] <- length(intsec) / j + } + nm[[i]] <- names(dea_list[i]) + } + } + + names(output) <- nm + + res <- ggplot2::ggplot( + dplyr::bind_rows(output, .id = "contrast"), + ggplot2::aes_string("rank", "concordance", colour = "contrast") + ) + + ggplot2::geom_line() + + ggplot2::theme_light() + + viridis::scale_color_viridis( + option = "magma", discrete = TRUE, + begin = 0, end = 0.9 + ) + + ggplot2::annotate("text", + label = paste("reference: ", + names(dea_list)[ref], + sep = "" + ), + x = maxrank * 0.8, + y = max(output[[i]][["concordance"]]) * 1.1 + ) + + return(res) +} + +# ddedde_cat(dde, +# ref = 1, +# maxrank = 1000, +# mode = "up", +# pthresh = 0.05) + + + diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R new file mode 100644 index 0000000..5a2d7f7 --- /dev/null +++ b/R/DeeDee_heatmap.R @@ -0,0 +1,141 @@ + +#' deedee_heatmap(dd_list_original, +#' pthresh = 0.05, show_first = 25, +#' show_gene_names = FALSE, dist = "euclidean", +#' clust = "average", show_na = FALSE +#' ) + + +#' Title +#' +#' @param dde todo +#' @param show_first todo +#' @param show_gene_names todo +#' @param dist todo +#' @param clust todo +#' @param show_na todo +#' @param pthresh todo +#' +#' @return todo +#' @export +#' +#' @examples +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' del +#' ) +#' dde +ddedde_heatmap <- function(dde, + show_first = 25, + show_gene_names = FALSE, + dist = "euclidean", + clust = "average", + show_na = FALSE, + pthresh = 0.05) { + + # checkmate::assert_list(data, type = "data.frame", min.len = 2) + # for (i in 1:length(data)) { + # checkmate::assert_data_frame(data[[i]], type = "numeric") + # } + # checkmate::assert_number(pthresh, lower = 0, upper = 1) + # checkmate::assert_number(show_first, lower = 1) + # checkmate::assert_logical(show_gene_names) + # choices1 <- c("euclidean", "manhattan", "pearson", "spearman") + # checkmate::assert_choice(dist, choices1) + # choices2 <- c("single", "complete", "average", "centroid") + # checkmate::assert_choice(clust, choices2) + # checkmate::assert_logical(show_na) + + dea_list <- get_deas_list(dde) + # and then proceed as for the old implementation + + for (i in 1:length(dea_list)) { + dea_list[[i]] <- subset(dea_list[[i]], dea_list[[i]]$padj < pthresh) # pthresh + dea_list[[i]] <- dea_list[[i]]["log2FoldChange"] # removing p-value column + colnames(dea_list[[i]]) <- names(dea_list)[[i]] # creating unique colnames + dea_list[[i]] <- tibble::rownames_to_column(dea_list[[i]]) + } + + comp <- dplyr::full_join(dea_list[[1]], + dea_list[[2]], + by = "rowname", + copy = FALSE + ) + if (length(dea_list) > 2) { + for (i in 3:length(dea_list)) { + comp <- dplyr::full_join(comp, dea_list[[i]], by = "rowname", copy = FALSE) + } + } + + + row.names(comp) <- comp$rowname + + # comp <- subset(comp, select = -c(rowname)) # removing column with rownames + comp <- comp[, !(names(comp) %in% "rowname")] + + comp <- comp[rowSums(!is.na(comp)) >= floor(length(comp) / 2) + 1, ] + if (show_na == FALSE) { + comp <- comp[stats::complete.cases(comp[colnames(comp)]), ] + } + comp <- as.matrix(comp) + + if (length(comp[, 1]) == 0) { + return(NULL) + } + + if (show_gene_names == FALSE) { + rownames(comp) <- c() + } + + col <- viridis::viridis(n = 15, option = "magma") + + res <- ComplexHeatmap::Heatmap(comp[1:min( + show_first, + length(comp[, 1]) + ), ], + name = "logFC", + col = col, + clustering_distance_rows = dist, + clustering_method_rows = clust + ) + + # ComplexHeatmap::draw(res) + + return(res) + +} + + + +#' deedee_heatmap(dd_list_original, +#' pthresh = 0.05, show_first = 25, +#' show_gene_names = FALSE, dist = "euclidean", +#' clust = "average", show_na = FALSE +#' ) + +# ddedde_heatmap(dde = dde, +# pthresh = 0.05, show_first = 25, +# show_gene_names = FALSE, dist = "euclidean", +# clust = "average", show_na = FALSE +# ) +# +# ddedde_heatmap(dde = dde, +# pthresh = 0.05, show_first = 25, +# show_gene_names = TRUE, dist = "euclidean", +# clust = "average", show_na = TRUE +# ) +# TODOs: better scale, blue to red +# TODOs: do this by overriding the selection of genes +# TODOs: add option to return the data frame instead of the plotted object + + diff --git a/R/DeeDee_qq.R b/R/DeeDee_qq.R new file mode 100644 index 0000000..60803d2 --- /dev/null +++ b/R/DeeDee_qq.R @@ -0,0 +1,128 @@ + +#' deedee_qq(dd_list_original, pthresh = 0.05, select = 1, select2 = 2, color_by = "pval1") + +#' Title +#' +#' @param dde todo +#' @param select1 todo +#' @param select2 todo +#' @param color_by todo +#' @param as_line todo +#' @param pthresh todo +#' +#' @return todo +#' @export +#' +#' @examples +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' del +#' ) +#' dde +ddedde_qq <- function(dde, + select1 = 1, + select2 = 2, + color_by = "pval1", + as_line = FALSE, + pthresh = 0.05) { + + # checkmate::assert_list(data, type = "data.frame", min.len = 2) + # for (i in 1:length(data)) { + # checkmate::assert_data_frame(data[[i]], type = "numeric") + # } + # checkmate::assert_number(pthresh, lower = 0, upper = 1) + # checkmate::assert_number(select1, lower = 1, upper = length(data)) + # checkmate::assert_number(select2, lower = 1, upper = length(data)) + # choices <- c("pval1", "pval2") + # checkmate::assert_choice(color_by, choices) + + + dea_list <- get_deas_list(dde) + + data_red <- list(dea_list[[select1]], dea_list[[select2]]) + + for (i in 1:length(data_red)) { + colnames(data_red[[i]]) <- c( + paste("log2FoldChange", i, sep = ""), + paste("pval", i, sep = ""), + paste("padj", i, sep = "") + ) + } + + x <- data_red[[1]]$log2FoldChange + y <- data_red[[2]]$log2FoldChange + pval1 <- data_red[[1]]$padj + pval2 <- data_red[[2]]$padj + names(x) <- row.names(data_red[[1]]) + names(y) <- row.names(data_red[[2]]) + + sx_idx <- order(x) + sy_idx <- order(y) + + sx <- x[sx_idx] + sy <- y[sy_idx] + pval1 <- pval1[sx_idx] + pval2 <- pval2[sy_idx] + + lenx <- length(sx) + leny <- length(sy) + + if (leny < lenx) { + sx <- stats::approx(1L:lenx, sx, n = leny)$y + pval1 <- stats::approx(1L:lenx, pval1, n = leny)$y + } + if (leny > lenx) { + sy <- stats::approx(1L:leny, sy, n = lenx)$y + pval2 <- stats::approx(1L:leny, pval2, n = lenx)$y + } + + qq <- data.frame(x = sx, y = sy, pval1 = pval1, pval2 = pval2) + + qq_f <- qq[qq$pval1 <= pthresh | qq$pval2 <= pthresh, ] + + if (length(qq_f[[1]]) == 0 || length(qq_f[[2]]) == 0) { + return(NULL) + } + + if (as_line == FALSE) { + res <- ggplot2::ggplot(qq_f, ggplot2::aes(x, y, col = -log10(get(color_by)))) + + ggplot2::geom_point() + + viridis::scale_color_viridis(option = "magma") + + ggplot2::xlab(names(dea(dde))[select1]) + + ggplot2::ylab(names(dea(dde))[select2]) + + ggplot2::labs(color = paste("-log10(", color_by, ")", sep = "")) + + ggplot2::theme_light() + } else { + res <- ggplot2::ggplot(qq_f, ggplot2::aes(x, y, col = -log10(get(color_by)))) + + ggplot2::geom_line() + + viridis::scale_color_viridis(option = "magma") + + ggplot2::xlab(names(data)[select1]) + + ggplot2::ylab(names(data)[select2]) + + ggplot2::labs(color = paste("-log10(", color_by, ")", sep = "")) + + ggplot2::theme_light() + } + + return(res) +} + +# ddedde_qq(dde, +# pthresh = 0.05, +# select = 1, +# select2 = 2, +# color_by = "pval1") + +# compare the outputs + + + + diff --git a/R/DeeDee_qqmult.R b/R/DeeDee_qqmult.R new file mode 100644 index 0000000..027d22f --- /dev/null +++ b/R/DeeDee_qqmult.R @@ -0,0 +1,94 @@ +#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 1) +#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 2) +#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 3) +#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 4) + +#' Title +#' +#' @param dde todo +#' @param ref todo +#' @param pthresh todo +#' +#' @return todo +#' @export +#' +#' @examples +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' del +#' ) +#' dde +ddedde_qqmult <- function(dde, + ref = 1, + pthresh = 0.05) { + + # checkmate::assert_list(data, type = "data.frame", min.len = 2) + # for (i in 1:length(data)) { + # checkmate::assert_data_frame(data[[i]], type = "numeric") + # } + # checkmate::assert_number(pthresh, lower = 0, upper = 1) + # checkmate::assert_number(ref, lower = 1, upper = length(data)) + + dea_list <- get_deas_list(dde) + + output <- list() + nm <- c() + + for (i in 1:length(dea_list)) { + if (i != ref) { + output[[i]] <- data.frame( + ggplot2::ggplot_build(ddedde_qq( + dde = dde, + select1 = ref, + select2 = i, + as_line = TRUE + ))$plot$data) + + nm[[i]] <- names(dea_list[i]) + } + } + + names(output) <- nm + + res <- ggplot2::ggplot( + dplyr::bind_rows(output, .id = "contrast"), + ggplot2::aes_string("x", "y", colour = "contrast") + ) + + ggplot2::xlab(names(dea_list)[ref]) + + ggplot2::ylab("Contrasts") + + ggplot2::geom_line() + + ggplot2::theme_light() + + viridis::scale_color_viridis( + option = "magma", discrete = TRUE, + begin = 0, end = 0.9 + ) + + return(res) +} + +#' ddedde_qqmult(dde, +#' pthresh = 0.05, +#' ref = 1) +#' +#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 2) +#' ddedde_qqmult(dde, pthresh = 0.05, ref = 2) +#' +#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 3) +#' ddedde_qqmult(dde, pthresh = 0.05, ref = 3) +#' +#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 4) +#' ddedde_qqmult(dde, pthresh = 0.05, ref = 4) + + + + diff --git a/R/DeeDee_scatter.R b/R/DeeDee_scatter.R new file mode 100644 index 0000000..9aa6d1e --- /dev/null +++ b/R/DeeDee_scatter.R @@ -0,0 +1,112 @@ +#' Title +#' +#' @param dde todo +#' @param select1 todo +#' @param select2 todo +#' @param color_by todo +#' @param pthresh todo +#' +#' @return todo +#' @export +#' +#' @examples +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' del +#' ) +#' dde +#' ddedde_scatter(dde, 1, 3, color_by = "pval2") +#' ddedde_scatter(dde, 1, 2) +#' ddedde_scatter(dde, 1, 4) +#' ddedde_scatter(dde, 3, 2) +ddedde_scatter <- function(dde, + select1 = 1, + select2 = 2, + color_by = "pval1", + pthresh = 0.05) { + + # checkmate::assert_list(data, type = "data.frame", min.len = 2) + # for (i in 1:length(data)) { + # checkmate::assert_data_frame(data[[i]], type = "numeric") + # } + # checkmate::assert_number(pthresh, lower = 0, upper = 1) + # checkmate::assert_number(select1, lower = 1, upper = length(data)) + # checkmate::assert_number(select2, lower = 1, upper = length(data)) + # choices <- c("pval1", "pval2") + # checkmate::assert_choice(color_by, choices) + + dea_names <- names(dea(dde)) + names1 <- dea_names[select1] + names2 <- dea_names[select2] + + de_1 <- get_dea(dde, names1) + de_2 <- get_dea(dde, names2) + data_red <- list( + tibble::rownames_to_column(as.data.frame(de_1)), + tibble::rownames_to_column(as.data.frame(de_2))) # selected samples + + # 928 + # 2692 + # 185 + + comp <- dplyr::inner_join(data_red[[1]], + data_red[[2]], + by = "rowname", + copy = FALSE + ) + + # for (i in 1:length(data_red)) { + # data_red[i][[1]] <- subset( + # data_red[i][[1]], + # data_red[i][[1]]$pval < pthresh + # ) + # data_red[i][[1]] <- tibble::rownames_to_column(data_red[i][[1]]) + # } + # comp <- dplyr::inner_join(data_red[1][[1]], + # data_red[2][[1]], + # by = "rowname", + # copy = FALSE + # ) + # comp <- comp[stats::complete.cases(comp[colnames(comp)]), ] + + names(comp) <- c("gene_id", + "logFC1", "punadj1", "pval1", + "logFC2", "punadj2", "pval2") + + + comp_sel <- comp[(comp$pval1 <= pthresh) & (comp$pval2 <= pthresh), ] + + comp_sel$info <- paste0( + comp_sel$gene_id,": ", comp_sel$logFC1, ", ", comp_sel$logFC2, "\n something else\nanother line" + ) + + if (length(comp[, 1]) == 0) { + return(NULL) + } + + res <- ggplot2::ggplot( + data = comp_sel, + aes(.data[["logFC1"]], .data[["logFC2"]], + col = .data[[color_by]], + label = .data[["gene_id"]], + info = .data[["info"]] + )) + + ggplot2::geom_point() + + viridis::scale_color_viridis(option = "magma") + + ggplot2::xlab(names1) + + ggplot2::ylab(names2) + + ggplot2::labs(color = color_by) + + ggplot2::theme_light() + + return(res) +} diff --git a/R/DeeDee_summary.R b/R/DeeDee_summary.R new file mode 100644 index 0000000..70d3340 --- /dev/null +++ b/R/DeeDee_summary.R @@ -0,0 +1,152 @@ +#' deedee_summary(dd_list_original) + +#' Title +#' +#' @param dde todo +#' @param template todo +#' @param output_path todo +#' @param overwrite todo +#' @param pthresh todo +#' @param scatter_select1 todo +#' @param scatter_select2 todo +#' @param scatter_color_by todo +#' @param heatmap_show_first todo +#' @param heatmap_show_gene_names todo +#' @param heatmap_dist todo +#' @param heatmap_clust todo +#' @param heatmap_show_na todo +#' @param venn_mode todo +#' @param upset_mode todo +#' @param upset_min_setsize todo +#' @param qqmult_ref todo +#' @param cat_ref todo +#' @param cat_maxrank todo +#' @param cat_mode todo +#' @param silent todo +#' @param open_file todo +#' +#' @return todo +#' @export +#' +#' @examples +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' del +#' ) +#' dde +ddedde_summary <- function(dde, + template = system.file("extdata", + "summary_template.Rmd", + package = "DeeDee"), + output_path = "DeeDee_Summary.html", + overwrite = FALSE, + pthresh = 0.05, + scatter_select1 = 1, + scatter_select2 = 2, + scatter_color_by = "pval1", + heatmap_show_first = 25, + heatmap_show_gene_names = FALSE, + heatmap_dist = "euclidean", + heatmap_clust = "average", + heatmap_show_na = FALSE, + venn_mode = "both", + upset_mode = "both_colored", + upset_min_setsize = 10, + qqmult_ref = 1, + cat_ref = 1, + cat_maxrank = 1000, + cat_mode = "up", + silent = FALSE, + open_file = TRUE) { + + # checkmate::assert_list(deedee_list, type = "data.frame", min.len = 2) + # for (i in 1:length(deedee_list)) { + # checkmate::assert_data_frame(deedee_list[[i]], type = "numeric") + # } + # checkmate::assert_number(pthresh, lower = 0, upper = 1) + # + # checkmate::assert_logical(overwrite) + # + # checkmate::assert_number(scatter_select1, lower = 1, upper = length(deedee_list)) + # checkmate::assert_number(scatter_select2, lower = 1, upper = length(deedee_list)) + # choices <- c("pval1", "pval2") + # checkmate::assert_choice(scatter_color_by, choices) + # + # checkmate::assert_number(heatmap_show_first, lower = 1) + # checkmate::assert_logical(heatmap_show_gene_names) + # choices1 <- c("euclidean", "manhattan", "pearson", "spearman") + # checkmate::assert_choice(heatmap_dist, choices1) + # choices2 <- c("single", "complete", "average", "centroid") + # checkmate::assert_choice(heatmap_clust, choices2) + # checkmate::assert_logical(heatmap_show_na) + # + # choices <- c("up", "down", "both") + # checkmate::assert_choice(venn_mode, choices) + # + # choices <- c("up", "down", "both", "both_colored") + # checkmate::assert_choice(upset_mode, choices) + # checkmate::assert_number(upset_min_setsize, lower = 0) + # + # checkmate::assert_number(qqmult_ref, lower = 1, upper = length(deedee_list)) + # + # checkmate::assert_number(cat_ref, lower = 1, upper = length(deedee_list)) + # checkmate::assert_number(cat_maxrank, lower = 1) + # choices <- c("up", "down", "both") + # checkmate::assert_choice(cat_mode, choices) + + # template <- system.file("extdata", + # "summary_template.Rmd", + # package = "DeeDee" + # ) + + file.exists(template) + + if (file.exists(output_path)) { + if (!overwrite) { + stop("Your declared output file already exists. ", + "Set overwrite = TRUE to proceed anyway.", + call. = FALSE + ) + } + } + + output_rmd <- paste(unlist(strsplit(output_path, + split = ".", + fixed = TRUE + ))[1], ".Rmd", sep = "") + + file.copy(from = template, to = output_rmd, overwrite = TRUE) + + args <- list() + args$input <- output_rmd + args$output_format <- "html_document" + args$output_path <- output_path + + output_path <- rmarkdown::render(output_rmd, + params = args + ) + if (open_file == TRUE) { + utils::browseURL(output_path) + } + + file.remove(output_rmd) + + if (silent == FALSE) { + message("Your summary has been generated!") + } +} + +# ddedde_summary(dde, +# template = "inst/extdata/summary_template.Rmd", output_path = "v2.html") + + diff --git a/R/DeeDee_upset.R b/R/DeeDee_upset.R new file mode 100644 index 0000000..2ff8c19 --- /dev/null +++ b/R/DeeDee_upset.R @@ -0,0 +1,154 @@ + + +#' deedee_upset(dd_list_original, pthresh = 0.05, mode = "both_colored", min_setsize = 10) + +#' Title +#' +#' @param dde todo +#' @param mode todo +#' @param min_setsize todo +#' @param pthresh todo +#' +#' @return todo +#' @export +#' +#' @examples +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' del +#' ) +#' dde +ddedde_upset <- function(dde, + mode = "both_colored", + min_setsize = 10, + pthresh = 0.05) { + + # checkmate::assert_list(data, type = "data.frame", min.len = 2) + # for (i in 1:length(data)) { + # checkmate::assert_data_frame(data[[i]], type = "numeric") + # } + # checkmate::assert_number(pthresh, lower = 0, upper = 1) + # choices <- c("up", "down", "both", "both_colored") + # checkmate::assert_choice(mode, choices) + # checkmate::assert_number(min_setsize, lower = 0) + + + dea_list <- get_deas_list(dde) + for (i in 1:length(dea_list)) { + dea_list[[i]] <- subset(dea_list[[i]], dea_list[[i]]$padj < pthresh) # pthresh + + if (length(dea_list[[i]][[1]]) == 0) { + return(NULL) + } + + dea_list[[i]] <- dea_list[[i]]["log2FoldChange"] # removing p-value column + dea_list[[i]]$log2FoldChange[dea_list[[i]]$log2FoldChange < 0] <- -1 # 1/0/-1 distinction + dea_list[[i]]$log2FoldChange[dea_list[[i]]$log2FoldChange > 0] <- 1 + + if (mode == "both" || mode == "both_colored") { + dea_list[[i]] <- subset(dea_list[[i]], dea_list[[i]]$log2FoldChange != 0) + } + + if (mode == "up") { + dea_list[[i]] <- subset(dea_list[[i]], dea_list[[i]]$log2FoldChange == 1) + } + + if (mode == "down") { + dea_list[[i]] <- subset(dea_list[[i]], dea_list[[i]]$log2FoldChange == -1) + } + dea_list[[i]] <- tibble::rownames_to_column(dea_list[[i]]) + names(dea_list[[i]]) <- c("rowname", names(dea_list[i])) + } + + comp <- dplyr::full_join(dea_list[[1]], dea_list[[2]], + by = "rowname", + copy = FALSE + ) + + if (length(dea_list) > 2) { + for (i in 3:length(dea_list)) { + comp <- dplyr::full_join(comp, dea_list[[i]], by = "rowname", copy = FALSE) + } + } + comp <- tibble::column_to_rownames(comp) + contrasts <- colnames(comp) + + if (mode == "both_colored") { + count <- vector(mode = "numeric", length = length(comp[[1]])) + comp <- cbind(comp, count) + comp["count"] <- rowSums(comp, na.rm = TRUE) + + na_count <- vector(mode = "numeric", length = length(comp[[1]])) + comp <- cbind(comp, na_count) + comp["na_count"] <- rowSums(is.na(comp)) + + dr <- vector(mode = "character", length = length(comp[[1]])) + comp <- cbind(comp, dr) + + nsets <- length(dea_list) + + for (i in 1:length(comp[[1]])) { + if ((comp[i, "count"] + comp[i, "na_count"]) == nsets) { + comp[i, "dr"] <- "up" + } else if ((comp[i, "count"] - comp[i, "na_count"]) == -nsets) { + comp[i, "dr"] <- "down" + } else { + comp[i, "dr"] <- "different" + } + } + + comp <- subset(comp, select = -c(count, na_count)) + comp[is.na(comp)] <- FALSE + comp[comp == -1 | comp == 1] <- TRUE + } + + if (mode == "both_colored") { + col_up <- viridis::viridis(n = 1, begin = 0.4, option = "magma") + col_down <- viridis::viridis(n = 1, begin = 0.9, option = "magma") + res <- ComplexUpset::upset(comp, + contrasts, + guide = NULL, + base_annotations = list( + "Intersection of genes" = ComplexUpset::intersection_size( + counts = FALSE, + mapping = ggplot2::aes(fill = dr) + ) + + ggplot2::scale_fill_manual( + values = c( + "different" = "dark grey", + "down" = col_down, + "up" = col_up + ), + name = "Regulation direction" + ) + ), + width_ratio = 0.1, + min_size = min_setsize + ) + } else { + comp <- (comp != 0 & !is.na(comp)) + comp <- as.data.frame(comp) + res <- ComplexUpset::upset(comp, + contrasts, + guide = NULL + ) + } + + return(res) +} + + +# ddedde_upset(dde, +# pthresh = 0.05, +# mode = "both_colored", +# min_setsize = 10) diff --git a/R/DeeDee_venn.R b/R/DeeDee_venn.R new file mode 100644 index 0000000..d01de28 --- /dev/null +++ b/R/DeeDee_venn.R @@ -0,0 +1,100 @@ + + +#' deedee_venn(dd_list_original, pthresh = 0.05, mode = "both") + +#' Title +#' +#' @param dde todo +#' @param mode todo +#' @param pthresh todo +#' +#' @return todo +#' @export +#' +#' @examples +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' del +#' ) +#' dde +ddedde_venn <- function(dde, + mode = "both", + pthresh = 0.05) { + + # checkmate::assert_list(data, type = "data.frame", min.len = 2) # , max.len = 4) + # for (i in 1:length(data)) { + # checkmate::assert_data_frame(data[[i]], type = "numeric") + # } + # checkmate::assert_number(pthresh, lower = 0, upper = 1) + # choices <- c("up", "down", "both") + # checkmate::assert_choice(mode, choices) + + + dea_list <- get_deas_list(dde) + for (i in 1:length(dea_list)) { + dea_list[[i]] <- subset( + dea_list[[i]], + dea_list[[i]]$padj < pthresh + ) + + if (length(dea_list[[i]][[1]]) == 0) { + return(NULL) + } + + if (mode == "up") { + dea_list[[i]] <- subset( + dea_list[[i]], + dea_list[[i]]$log2FoldChange > 0 + ) + } + if (mode == "down") { + dea_list[[i]] <- subset( + dea_list[[i]], + dea_list[[i]]$log2FoldChange < 0 + ) + } + dea_list[[i]] <- dea_list[[i]]["log2FoldChange"] # removing p-value column + colnames(dea_list[[i]]) <- c(paste("log2FoldChange", i, sep = "")) + dea_list[[i]] <- as.matrix(dea_list[[i]]) # conversion to matrix + names <- rownames(dea_list[[i]]) + dea_list[[i]] <- as.vector(dea_list[[i]]) # conversion to vector + names(dea_list[[i]]) <- names + dea_list[[i]] <- sort(dea_list[[i]], decreasing = TRUE) + dea_list[[i]] <- names(dea_list[[i]]) + } + + pal <- c(viridis::viridis(length(dea_list), option = "magma")) + + res <- ggvenn::ggvenn(dea_list, + fill_alpha = 0.2, + fill_color = pal, + show_percentage = FALSE, + stroke_color = "grey80", + set_name_size = 4 + ) + + return(res) +} + +# ddedde_venn(dde, pthresh = 0.05, mode = "both") + + + + + + + + + + + From 23665a54f4701980e80ced24ce213a7bca837875 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 14:32:52 +0100 Subject: [PATCH 029/182] re-rendeing manpages --- man/DeeDeeObject-class.Rd | 40 ------------ man/ddedde_bars.Rd | 2 +- man/ddedde_cat.Rd | 14 +---- man/ddedde_heatmap.Rd | 2 +- man/ddedde_qq.Rd | 2 +- man/ddedde_qqmult.Rd | 2 +- man/ddedde_scatter.Rd | 2 +- man/ddedde_summary.Rd | 16 +---- man/ddedde_upset.Rd | 2 +- man/ddedde_venn.Rd | 2 +- man/deedee_app.Rd | 42 ------------- man/deedee_cat.Rd | 51 --------------- man/deedee_heatmap.Rd | 70 --------------------- man/deedee_prepare.Rd | 27 -------- man/deedee_qq.Rd | 59 ------------------ man/deedee_qqmult.Rd | 46 -------------- man/deedee_scatter.Rd | 59 ------------------ man/deedee_summary.Rd | 128 -------------------------------------- man/deedee_upset.Rd | 50 --------------- man/deedee_venn.Rd | 45 -------------- 20 files changed, 12 insertions(+), 649 deletions(-) delete mode 100644 man/DeeDeeObject-class.Rd delete mode 100644 man/deedee_app.Rd delete mode 100644 man/deedee_cat.Rd delete mode 100644 man/deedee_heatmap.Rd delete mode 100644 man/deedee_prepare.Rd delete mode 100644 man/deedee_qq.Rd delete mode 100644 man/deedee_qqmult.Rd delete mode 100644 man/deedee_scatter.Rd delete mode 100644 man/deedee_summary.Rd delete mode 100644 man/deedee_upset.Rd delete mode 100644 man/deedee_venn.Rd diff --git a/man/DeeDeeObject-class.Rd b/man/DeeDeeObject-class.Rd deleted file mode 100644 index e26fd72..0000000 --- a/man/DeeDeeObject-class.Rd +++ /dev/null @@ -1,40 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/old_DeeDeeObject.R -\docType{class} -\name{DeeDeeObject-class} -\alias{DeeDeeObject-class} -\alias{DeeDeeObject} -\title{DeeDeeObject (S4 class)} -\description{ -DeeDeeObject is the format that the DeeDee App works on. It -holds a slot for your list of DeeDee tables. More functionality -to come. -} -\section{Slots}{ - -\describe{ -\item{\code{DeeDeeList}}{} -}} - -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") -IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -dd_list <- list( - IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, - Salm_naive = Salm_naive, Salm_both = Salm_both -) - -# obj <- DeeDeeObject(DeeDeeList = dd_list) - -} diff --git a/man/ddedde_bars.Rd b/man/ddedde_bars.Rd index 789f411..a1820c8 100644 --- a/man/ddedde_bars.Rd +++ b/man/ddedde_bars.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDee_funcs.R +% Please edit documentation in R/DeeDee_bars.R \name{ddedde_bars} \alias{ddedde_bars} \title{Title} diff --git a/man/ddedde_cat.Rd b/man/ddedde_cat.Rd index c8640ae..cfc52cd 100644 --- a/man/ddedde_cat.Rd +++ b/man/ddedde_cat.Rd @@ -1,13 +1,8 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDee_funcs.R +% Please edit documentation in R/DeeDee_cat.R \name{ddedde_cat} \alias{ddedde_cat} -\title{deedee_heatmap(dd_list_original, -pthresh = 0.05, show_first = 25, -show_gene_names = FALSE, dist = "euclidean", -clust = "average", show_na = FALSE -) -deedee_cat(dd_list_original, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) +\title{deedee_cat(dd_list_original, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) Title} \usage{ ddedde_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) @@ -27,11 +22,6 @@ ddedde_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) todo } \description{ -deedee_heatmap(dd_list_original, -pthresh = 0.05, show_first = 25, -show_gene_names = FALSE, dist = "euclidean", -clust = "average", show_na = FALSE -) deedee_cat(dd_list_original, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) Title } diff --git a/man/ddedde_heatmap.Rd b/man/ddedde_heatmap.Rd index 42c4441..14268d5 100644 --- a/man/ddedde_heatmap.Rd +++ b/man/ddedde_heatmap.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDee_funcs.R +% Please edit documentation in R/DeeDee_heatmap.R \name{ddedde_heatmap} \alias{ddedde_heatmap} \title{deedee_heatmap(dd_list_original, diff --git a/man/ddedde_qq.Rd b/man/ddedde_qq.Rd index 4978b4e..b28aee0 100644 --- a/man/ddedde_qq.Rd +++ b/man/ddedde_qq.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDee_funcs.R +% Please edit documentation in R/DeeDee_qq.R \name{ddedde_qq} \alias{ddedde_qq} \title{deedee_qq(dd_list_original, pthresh = 0.05, select = 1, select2 = 2, color_by = "pval1") diff --git a/man/ddedde_qqmult.Rd b/man/ddedde_qqmult.Rd index 5dbb80a..ade587b 100644 --- a/man/ddedde_qqmult.Rd +++ b/man/ddedde_qqmult.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDee_funcs.R +% Please edit documentation in R/DeeDee_qqmult.R \name{ddedde_qqmult} \alias{ddedde_qqmult} \title{deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 1) diff --git a/man/ddedde_scatter.Rd b/man/ddedde_scatter.Rd index 7787091..47825f0 100644 --- a/man/ddedde_scatter.Rd +++ b/man/ddedde_scatter.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDee_funcs.R +% Please edit documentation in R/DeeDee_scatter.R \name{ddedde_scatter} \alias{ddedde_scatter} \title{Title} diff --git a/man/ddedde_summary.Rd b/man/ddedde_summary.Rd index 45d0796..0c360a5 100644 --- a/man/ddedde_summary.Rd +++ b/man/ddedde_summary.Rd @@ -1,10 +1,9 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDee_funcs.R +% Please edit documentation in R/DeeDee_summary.R \name{ddedde_summary} \alias{ddedde_summary} -\title{ddedde_qqmult(dde, -pthresh = 0.05, -ref = 1)} +\title{deedee_summary(dd_list_original) +Title} \usage{ ddedde_summary( dde, @@ -80,15 +79,6 @@ ddedde_summary( todo } \description{ -deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 2) -ddedde_qqmult(dde, pthresh = 0.05, ref = 2) -} -\details{ -deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 3) -ddedde_qqmult(dde, pthresh = 0.05, ref = 3) - -deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 4) -ddedde_qqmult(dde, pthresh = 0.05, ref = 4) deedee_summary(dd_list_original) Title } diff --git a/man/ddedde_upset.Rd b/man/ddedde_upset.Rd index b3a7929..d2700ad 100644 --- a/man/ddedde_upset.Rd +++ b/man/ddedde_upset.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDee_funcs.R +% Please edit documentation in R/DeeDee_upset.R \name{ddedde_upset} \alias{ddedde_upset} \title{deedee_upset(dd_list_original, pthresh = 0.05, mode = "both_colored", min_setsize = 10) diff --git a/man/ddedde_venn.Rd b/man/ddedde_venn.Rd index 9636f81..e17e944 100644 --- a/man/ddedde_venn.Rd +++ b/man/ddedde_venn.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDee_funcs.R +% Please edit documentation in R/DeeDee_venn.R \name{ddedde_venn} \alias{ddedde_venn} \title{deedee_venn(dd_list_original, pthresh = 0.05, mode = "both") diff --git a/man/deedee_app.Rd b/man/deedee_app.Rd deleted file mode 100644 index d0ee910..0000000 --- a/man/deedee_app.Rd +++ /dev/null @@ -1,42 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/old_deedee_app.R -\name{deedee_app} -\alias{deedee_app} -\title{DeeDee App} -\usage{ -deedee_app(deedee_obj = NULL) -} -\arguments{ -\item{deedee_obj}{An object of the class DeeDeeObject to be analyzed.} -} -\value{ -A shiny app -} -\description{ -\code{deedee_app} opens the DeeDee Shiny web application, combining -the functionalities of all other DeeDee functions with a user-friendly -graphical user interface. -} -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") -IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -dd_list <- list( - IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, - Salm_naive = Salm_naive, Salm_both = Salm_both -) - -if (interactive()) { - deedee_app(dd_list) -} -} diff --git a/man/deedee_cat.Rd b/man/deedee_cat.Rd deleted file mode 100644 index 61cb305..0000000 --- a/man/deedee_cat.Rd +++ /dev/null @@ -1,51 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/old_deedee_cat.R -\name{deedee_cat} -\alias{deedee_cat} -\title{DeeDee Concordance At the Top Plot} -\usage{ -deedee_cat(data, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) -} -\arguments{ -\item{data}{named list of results from deedee_prepare()} - -\item{ref}{index of the contrast in data to be used as reference contrast -(default = 1)} - -\item{maxrank}{highest rank that should be displayed (default = 1000)} - -\item{mode}{sort by highest logFC (\code{up}, default), lowest logFC (\code{down}) or -greatest deviation from zero (\code{both})} - -\item{pthresh}{threshold for p-values to be in-/excluded (default = 0.05)} -} -\value{ -ggplot object (plottable with show()/print()) -} -\description{ -\code{deedee_cat} creates a Concordance at the Top plot depicting -the concordance of genes in the first n elements of the logFC-ranked lists -for the given (non-reference) input contrasts against a chosen reference -contrast from the input list. -} -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") -IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -dd_list <- list( - IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, - Salm_naive = Salm_naive, Salm_both = Salm_both -) - -deedee_cat(dd_list, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) -} diff --git a/man/deedee_heatmap.Rd b/man/deedee_heatmap.Rd deleted file mode 100644 index f11b8f9..0000000 --- a/man/deedee_heatmap.Rd +++ /dev/null @@ -1,70 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/old_deedee_heatmap.R -\name{deedee_heatmap} -\alias{deedee_heatmap} -\title{DeeDee Heatmap} -\usage{ -deedee_heatmap( - data, - show_first = 25, - show_gene_names = FALSE, - dist = "euclidean", - clust = "average", - show_na = FALSE, - pthresh = 0.05 -) -} -\arguments{ -\item{data}{named list of results from deedee_prepare()} - -\item{show_first}{indicating the number of genes depicted (default = 25)} - -\item{show_gene_names}{boolean, show row names next to heatmap -(default = FALSE)} - -\item{dist}{select the distance measure (\code{euclidean}, \code{manhattan}, \code{pearson}, -\code{spearman})} - -\item{clust}{select the clustering method (\code{single}, \code{complete}, \code{average}, -\code{centroid})} - -\item{show_na}{boolean, include genes with NA values in heatmap -(default = FALSE)} - -\item{pthresh}{threshold for p-values to be in-/excluded (default = 0.05)} -} -\value{ -Heatmap object (plottable with show()/print()). The resulting heatmap -(\code{res}) can be opened in a Shiny App with interactive functionality by -running the command \code{ht_shiny(res)} (see package \code{InteractiveComplexHeatmap}). -} -\description{ -\code{deedee_heatmap} creates a heatmap depicting the logFC as a -measure of the differential expression of the first genes in the given -datasets. -} -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") -IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -dd_list <- list( - IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, - Salm_naive = Salm_naive, Salm_both = Salm_both -) - -deedee_heatmap(dd_list, - pthresh = 0.05, show_first = 25, - show_gene_names = FALSE, dist = "euclidean", - clust = "average", show_na = FALSE -) -} diff --git a/man/deedee_prepare.Rd b/man/deedee_prepare.Rd deleted file mode 100644 index ff2e79b..0000000 --- a/man/deedee_prepare.Rd +++ /dev/null @@ -1,27 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/old_deedee_prepare.R -\name{deedee_prepare} -\alias{deedee_prepare} -\title{DeeDee Prepare} -\usage{ -deedee_prepare(data, input_type) -} -\arguments{ -\item{data}{result from DESeq2, limma or edgeR} - -\item{input_type}{the program the data comes from (\code{DESeq2}, \code{limma} or -\code{edgeR})} -} -\value{ -DeeDee table, to be used as part of the input for the other DeeDee -functions -} -\description{ -\code{deedee_prepare} creates a DeeDee table from a DEA result -} -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") - -deedee_table <- deedee_prepare(IFNg_naive, "DESeq2") -} diff --git a/man/deedee_qq.Rd b/man/deedee_qq.Rd deleted file mode 100644 index 7e74cf7..0000000 --- a/man/deedee_qq.Rd +++ /dev/null @@ -1,59 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/old_deedee_qq.R -\name{deedee_qq} -\alias{deedee_qq} -\title{DeeDee QQ Plot} -\usage{ -deedee_qq( - data, - select1 = 1, - select2 = 2, - color_by = "pval1", - as_line = FALSE, - pthresh = 0.05 -) -} -\arguments{ -\item{data}{named list of results from deedee_prepare()} - -\item{select1}{index of first data-list element to be used (default = 1)} - -\item{select2}{index of second data-list element to be used (default = 2)} - -\item{color_by}{indicates which set of values the output should be colored by -(possible values = \code{pval1} (default), \code{pval2})} - -\item{as_line}{logical value specifying if the resulting plot should be a -line (TRUE) or points (FALSE, default)} - -\item{pthresh}{threshold for p-values to be in-/excluded (default = 0.05)} -} -\value{ -ggplot object (plottable with show()/print()) -} -\description{ -\code{deedee_qq} creates a Q-Q-plot comparing the statistical -distribution of the logFC of the genes in two input datasets. To compare more -than two contrasts against a reference, have a look at \code{deedee_qqmult}. -} -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") -IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -dd_list <- list( - IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, - Salm_naive = Salm_naive, Salm_both = Salm_both -) - -deedee_qq(dd_list, pthresh = 0.05, select = 1, select2 = 2, color_by = "pval1") -} diff --git a/man/deedee_qqmult.Rd b/man/deedee_qqmult.Rd deleted file mode 100644 index 353cdc5..0000000 --- a/man/deedee_qqmult.Rd +++ /dev/null @@ -1,46 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/old_deedee_qqmult.R -\name{deedee_qqmult} -\alias{deedee_qqmult} -\title{DeeDee QQ Plot with Multiple Contrasts} -\usage{ -deedee_qqmult(data, ref = 1, pthresh = 0.05) -} -\arguments{ -\item{data}{named list of results from deedee_prepare()} - -\item{ref}{index of the contrast in data to be used as reference contrast -(default = 1)} - -\item{pthresh}{threshold for p-values to be in-/excluded (default = 0.05)} -} -\value{ -ggplot object (plottable with show()/print()) -} -\description{ -\code{deedee_qqmult} creates a plot containing Q-Q-lines comparing -the statistical distribution of the logFC of the genes in each input datasets -to a contrast chosen from the input data. For a Q-Q plot comparing two -contrasts in a p-value-colored manner, have a look at \code{deedee_qq}. -} -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") -IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -dd_list <- list( - IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, - Salm_naive = Salm_naive, Salm_both = Salm_both -) - -deedee_qqmult(dd_list, pthresh = 0.05, ref = 1) -} diff --git a/man/deedee_scatter.Rd b/man/deedee_scatter.Rd deleted file mode 100644 index 7519f7d..0000000 --- a/man/deedee_scatter.Rd +++ /dev/null @@ -1,59 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/old_deedee_scatter.R -\name{deedee_scatter} -\alias{deedee_scatter} -\title{DeeDee logFC Scatter Plot} -\usage{ -deedee_scatter( - data, - select1 = 1, - select2 = 2, - color_by = "pval1", - pthresh = 0.05 -) -} -\arguments{ -\item{data}{named list of results from deedee_prepare()} - -\item{select1}{index of first data-list element to be used (default = 1)} - -\item{select2}{index of second data-list element to be used (default = 2)} - -\item{color_by}{indicates which set of values the output should be colored by -(possible values = \code{pval1} (default), \code{pval2})} - -\item{pthresh}{threshold for p-values to be in-/excluded (default = 0.05)} -} -\value{ -ggplot object (plottable with show()/print()) -} -\description{ -\code{deedee_scatter} creates a scatterplot of the genes in two input -datasets based on their logFC values. -} -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") -IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -dd_list <- list( - IFNg_naive = IFNg_naive, - IFNg_both = IFNg_both, - Salm_naive = Salm_naive, - Salm_both = Salm_both -) - -deedee_scatter(dd_list, - pthresh = 0.05, select1 = 1, select2 = 2, - color_by = "pval1" -) -} diff --git a/man/deedee_summary.Rd b/man/deedee_summary.Rd deleted file mode 100644 index d35a697..0000000 --- a/man/deedee_summary.Rd +++ /dev/null @@ -1,128 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/old_deedee_summary.R -\name{deedee_summary} -\alias{deedee_summary} -\title{DeeDee Summary} -\usage{ -deedee_summary( - deedee_list, - output_path = "DeeDee_Summary.html", - overwrite = FALSE, - pthresh = 0.05, - scatter_select1 = 1, - scatter_select2 = 2, - scatter_color_by = "pval1", - heatmap_show_first = 25, - heatmap_show_gene_names = FALSE, - heatmap_dist = "euclidean", - heatmap_clust = "average", - heatmap_show_na = FALSE, - venn_mode = "both", - upset_mode = "both_colored", - upset_min_setsize = 10, - qqmult_ref = 1, - cat_ref = 1, - cat_maxrank = 1000, - cat_mode = "up", - silent = FALSE, - open_file = TRUE -) -} -\arguments{ -\item{deedee_list}{named list of results from deedee_prepare()} - -\item{output_path}{the path to save the resulting report in. must end with -a filename.html (default = "DeeDee_Summary.html" in the -working directory)} - -\item{overwrite}{logical value specifying if the output is supposed to -overwrite a potential existing file at the location of -output_path (default = FALSE)} - -\item{pthresh}{threshold for p-values to be in-/excluded (default = 0.05)} - -\item{scatter_select1}{index of first data-list element to be used -(default = 1)} - -\item{scatter_select2}{index of second data-list element to be used -(default = 2)} - -\item{scatter_color_by}{indicates which set of values the output should be -colored by (possible values = \code{pval1} (default), -\code{pval2})} - -\item{heatmap_show_first}{indicating the number of genes depicted -(default = 25)} - -\item{heatmap_show_gene_names}{boolean, show row names next to heatmap -(default = FALSE)} - -\item{heatmap_dist}{select the distance measure (\code{euclidean}, \code{manhattan}, -\code{pearson}, \code{spearman})} - -\item{heatmap_clust}{select the clustering method (\code{single}, \code{complete}, -\code{average}, \code{centroid})} - -\item{heatmap_show_na}{boolean, include genes with NA values in heatmap -(default = FALSE)} - -\item{venn_mode}{show all overlapping DE genes (\code{both}, default), -only conjointly up-regulated (\code{up}) -or only conjointly down-regulated (\code{down}) genes} - -\item{upset_mode}{show all overlapping DE genes (\code{both}), -all overlapping genes colored by DE direction -(\code{both_colored}, default), -only conjointly up-regulated (\code{up}) -or only conjointly down-regulated (\code{down}) genes} - -\item{upset_min_setsize}{the minimum size of intersections to be displayed in -the UpSet plot (default = 10)} - -\item{qqmult_ref}{index of the contrast in data to be used as reference -contrast (default = 1)} - -\item{cat_ref}{index of the contrast in data to be used as reference contrast -(default = 1)} - -\item{cat_maxrank}{highest rank that should be displayed (default = 1000)} - -\item{cat_mode}{sort by highest logFC (\code{up}, default), lowest logFC (\code{down}) -or greatest deviation from zero (\code{both})} - -\item{silent}{logical, specifying if success message shall be suppressed -(default = FALSE)} - -\item{open_file}{logical, specifying if the output file is supposed to be -opened after successful creation (default = TRUE)} -} -\value{ -Creates a html document containing the results of running the DeeDee -functions on your input data and params. TODO where -} -\description{ -DeeDee Summary -} -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") -IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -dd_list <- list( - IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, - Salm_naive = Salm_naive, Salm_both = Salm_both -) -\dontrun{ -deedee_summary(dd_list) -} - -} diff --git a/man/deedee_upset.Rd b/man/deedee_upset.Rd deleted file mode 100644 index 3210857..0000000 --- a/man/deedee_upset.Rd +++ /dev/null @@ -1,50 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/old_deedee_upset.R -\name{deedee_upset} -\alias{deedee_upset} -\title{DeeDee UpSet Plot} -\usage{ -deedee_upset(data, mode = "both_colored", min_setsize = 10, pthresh = 0.05) -} -\arguments{ -\item{data}{named list of results from deedee_prepare()} - -\item{mode}{show all overlapping DE genes (\code{both}), -all overlapping genes colored by DE direction (\code{both_colored}, -default), -only conjointly up-regulated (\code{up}) -or only conjointly down-regulated (\code{down}) genes} - -\item{min_setsize}{the minimum size of intersections to be displayed in the -UpSet plot (default = 10)} - -\item{pthresh}{threshold for p-values to be in-/excluded (default = 0.05)} -} -\value{ -upset element (plottable with show()/print()) -} -\description{ -\code{deedee_upset} creates an UpSet plot depicting the overlaps of -differentially expressed genes in the input datasets. -} -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") -IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -dd_list <- list( - IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, - Salm_naive = Salm_naive, Salm_both = Salm_both -) - -deedee_upset(dd_list, pthresh = 0.05, mode = "both_colored", min_setsize = 10) -} diff --git a/man/deedee_venn.Rd b/man/deedee_venn.Rd deleted file mode 100644 index b9735b0..0000000 --- a/man/deedee_venn.Rd +++ /dev/null @@ -1,45 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/old_deedee_venn.R -\name{deedee_venn} -\alias{deedee_venn} -\title{DeeDee Venn Diagram} -\usage{ -deedee_venn(data, mode = "both", pthresh = 0.05) -} -\arguments{ -\item{data}{named list of results from deedee_prepare()} - -\item{mode}{show all overlapping DE genes (\code{both}, default), -only conjointly up-regulated (\code{up}) -or only conjointly down-regulated (\code{down}) genes} - -\item{pthresh}{threshold for p-values to be in-/excluded (default = 0.05)} -} -\value{ -ggplot object (plottable with show()/print()) -} -\description{ -\code{deedee_venn} creates a Venn diagram depicting the overlaps of -differentially expressed genes in the input datasets. -} -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") -IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -dd_list <- list( - IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, - Salm_naive = Salm_naive, Salm_both = Salm_both -) - -# deedee_venn(dd_list, pthresh = 0.05, mode = "both") -} From 581dfc8a99b62aa14be589cf89c7328a37b393c6 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 14:33:06 +0100 Subject: [PATCH 030/182] deactivating code chunk execution in the vignette --- vignettes/deedee_manual.Rmd | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/vignettes/deedee_manual.Rmd b/vignettes/deedee_manual.Rmd index da08010..19ac6f2 100644 --- a/vignettes/deedee_manual.Rmd +++ b/vignettes/deedee_manual.Rmd @@ -23,7 +23,8 @@ editor_options: ```{r setup, include=FALSE} knitr::opts_chunk$set( - echo = TRUE + echo = TRUE, + eval = FALSE ) ``` From 2ec3444eaec41cfdb19b45d7459d2911d14ec89f Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 14:34:14 +0100 Subject: [PATCH 031/182] citation item fixed --- inst/CITATION | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/inst/CITATION b/inst/CITATION index e2410be..33f2568 100644 --- a/inst/CITATION +++ b/inst/CITATION @@ -7,10 +7,10 @@ citEntry( as.person("Lea Rothörl"), as.person("Federico Marini")), journal = "TODO", - year = TODO, - volume = TODO, - number = TODO, - pages = TODO, + year = "TODO", + volume = "TODO", + number = "TODO", + pages = "TODO", doi = "https://doi.org/TODO", textVersion = paste0( "TODO" From 96b884b0be235893d016390f60a0fdcdf99d1118 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 14:39:12 +0100 Subject: [PATCH 032/182] case sensitive renaming --- R/{deedee-data.R => DeeDee-data.R} | 0 R/{deedee-pkg.R => DeeDee-pkg.R} | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename R/{deedee-data.R => DeeDee-data.R} (100%) rename R/{deedee-pkg.R => DeeDee-pkg.R} (100%) diff --git a/R/deedee-data.R b/R/DeeDee-data.R similarity index 100% rename from R/deedee-data.R rename to R/DeeDee-data.R diff --git a/R/deedee-pkg.R b/R/DeeDee-pkg.R similarity index 100% rename from R/deedee-pkg.R rename to R/DeeDee-pkg.R From 3ac6fea967af210ef002913df317fffaaf7caae3 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 14:41:29 +0100 Subject: [PATCH 033/182] uncommenting the app code to r cmd check automatically as we go --- R/DeeDee-app.R | 2762 ++++++++++++++++++++++++------------------------ 1 file changed, 1381 insertions(+), 1381 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 15a917a..f31e28d 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -1,1392 +1,1392 @@ -#' #' DeeDee App -#' #' -#' #' @description `deedee_app` opens the DeeDee Shiny web application, combining -#' #' the functionalities of all other DeeDee functions with a user-friendly -#' #' graphical user interface. -#' #' -#' #' @param deedee_obj An object of the class DeeDeeObject to be analyzed. -#' #' -#' #' @return A shiny app -#' #' @export -#' #' -#' #' @examples -#' #' -#' #' data(DE_results_IFNg_naive, package = "DeeDee") -#' #' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' #' -#' #' data(DE_results_IFNg_both, package = "DeeDee") -#' #' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' #' -#' #' data(DE_results_Salm_naive, package = "DeeDee") -#' #' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' #' -#' #' data(DE_results_Salm_both, package = "DeeDee") -#' #' Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' #' -#' #' dd_list <- list( -#' #' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' #' Salm_naive = Salm_naive, Salm_both = Salm_both -#' #' ) -#' #' -#' #' if (interactive()) { -#' #' deedee_app(dd_list) -#' #' } -#' deedee_app <- function(deedee_obj = NULL) { +#' DeeDee App #' -#' # ---------------------------------------------------------------------------- -#' # --------------------------------- U I -------------------------------------- -#' # ---------------------------------------------------------------------------- +#' @description `deedee_app` opens the DeeDee Shiny web application, combining +#' the functionalities of all other DeeDee functions with a user-friendly +#' graphical user interface. #' -#' deedee_ui <- shiny::navbarPage("DeeDee", -#' id = "tabs", -#' theme = shinythemes::shinytheme("flatly"), +#' @param deedee_obj An object of the class DeeDeeObject to be analyzed. #' +#' @return A shiny app +#' @export #' -#' # ----------------------------- data input --------------------------------- -#' shiny::tabPanel( -#' "Input", -#' shiny::fluidRow( -#' shiny::column( -#' 8, -#' shiny::fileInput("inp", "Upload your DEA results or DeeDee objects", -#' multiple = TRUE, -#' accept = c(".rds", ".txt", ".xlsx"), -#' placeholder = "No files selected" -#' ), -#' shiny::tableOutput("inp_infobox") -#' ), -#' shiny::column( -#' 4, -#' shiny::selectInput("organism", "Organism", -#' choices = list( -#' "Human" = "org.Hs.eg.db", -#' "Mouse" = "org.Mm.eg.db", -#' "Fly" = "org.Dm.eg.db", -#' "Rat" = "org.Rn.eg.db" -#' ) -#' ), -#' shiny::uiOutput("key_inp"), -#' shiny::uiOutput("datasets"), -#' shiny::conditionalPanel( -#' "output.inp_infobox", -#' shiny::downloadButton( -#' "inp_download", -#' "Download DeeDee object (.RDS)" -#' ) -#' ) -#' ) -#' ), -#' shinyBS::bsCollapse( -#' shinyBS::bsCollapsePanel("INFO", -#' shiny::includeMarkdown(system.file("extdata", -#' "input.md", -#' package = "DeeDee" -#' )), -#' style = "primary" -#' ) -#' ), +#' @examples #' -#' # shiny::downloadButton("vignette", -#' # "Download DeeDee Package vignette (.html)") -#' ), +#' data(DE_results_IFNg_naive, package = "DeeDee") +#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") #' +#' data(DE_results_IFNg_both, package = "DeeDee") +#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") #' -#' # ------------------------------- scatter ---------------------------------- -#' shiny::tabPanel( -#' "Scatterplot", -#' shiny::fluidRow( -#' shiny::column( -#' 4, -#' shiny::uiOutput("scatter_choices1"), -#' shiny::uiOutput("scatter_choices2"), -#' shiny::selectInput("scatter_color_by", "Color by", -#' choices = list( -#' "1st p-value" = "pval1", -#' "2nd p-value" = "pval2" -#' ), -#' selected = "pval1" -#' ), -#' shiny::numericInput("scatter_pthresh", "P-value threshold", -#' value = 0.05, min = 0.01, max = 1, step = 0.01 -#' ), -#' shiny::actionButton("ora_button", "Over-representation analysis") -#' ), -#' shiny::column( -#' 8, -#' shinycssloaders::withSpinner( -#' shiny::plotOutput("scatter", -#' # dblclick = "scatter_dblclick", -#' brush = shiny::brushOpts( -#' id = "scatter_brush", -#' resetOnNew = FALSE -#' ) -#' ) -#' ) -#' ) -#' ), -#' shinyBS::bsCollapse( -#' shinyBS::bsCollapsePanel("INFO", -#' shiny::includeMarkdown(system.file("extdata", -#' "scatter.md", -#' package = "DeeDee" -#' )), -#' style = "primary" -#' ) -#' ), -#' shinyBS::bsModal( -#' id = "modalExample", -#' title = "Gene Ontology over-representation analysis", -#' trigger = "ora_button", -#' size = "large", -#' shinycssloaders::withSpinner(shiny::plotOutput("scatter_ora")), -#' shiny::downloadButton( -#' "ora_download", -#' "Download enrichment result object (.RDS)" -#' ) -#' ), -#' shiny::downloadButton( -#' "scatter_brush_download", -#' "Download brushed genes (.xlsx)" -#' ), -#' shiny::tableOutput("scatter_brush_info") -#' ), +#' data(DE_results_Salm_naive, package = "DeeDee") +#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") #' +#' data(DE_results_Salm_both, package = "DeeDee") +#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") #' -#' # ------------------------------- heatmap ---------------------------------- -#' shiny::tabPanel( -#' "Heatmap", -#' id = "heatmap", -#' shiny::fluidRow( -#' shiny::column( -#' 4, -#' shiny::numericInput("heatmap_show_first", -#' "Show first", -#' value = 25, -#' min = 1 -#' ), -#' shiny::checkboxInput("heatmap_show_gene_names", -#' "Show gene names", -#' value = FALSE -#' ), -#' shiny::checkboxInput("heatmap_showNA", -#' "Show NA", -#' value = FALSE -#' ), -#' shiny::selectInput("heatmap_dist", "Distance measure", -#' choices = list( -#' "Euclidean" = "euclidean", -#' "Manhattan" = "manhattan", -#' "Pearson" = "pearson", -#' "Spearman" = "spearman" -#' ), -#' selected = "euclidean" -#' ), -#' shiny::selectInput("heatmap_clust", "Clustering method", -#' choices = list( -#' "Single" = "single", -#' "Complete" = "complete", -#' "Average" = "average", -#' "Centroid" = "centroid" -#' ), -#' selected = "average" -#' ), -#' shiny::numericInput("heatmap_pthresh", "P-value threshold", -#' value = 0.05, min = 0.01, max = 1, step = 0.01 -#' ), -#' shiny::actionButton("heatmap_action", "Create heatmap") -#' ), -#' shiny::column( -#' 8, -#' shiny::textOutput("heatmap_errors"), -#' shiny::conditionalPanel( -#' "output.heatmap_errors == ''", -#' shinycssloaders::withSpinner( -#' InteractiveComplexHeatmap:: -#' InteractiveComplexHeatmapOutput() -#' ) -#' ) -#' ) -#' ), -#' shinyBS::bsCollapse( -#' shinyBS::bsCollapsePanel("INFO", -#' shiny::includeMarkdown(system.file("extdata", -#' "heatmap.md", -#' package = "DeeDee" -#' )), -#' style = "primary" -#' ) -#' ) -#' ), +#' dd_list <- list( +#' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, +#' Salm_naive = Salm_naive, Salm_both = Salm_both +#' ) #' -#' -#' # -------------------------------- venn ------------------------------------ -#' shiny::tabPanel( -#' "Venn Diagram", -#' shiny::fluidRow( -#' shiny::column( -#' 4, -#' shiny::selectInput("venn_mode", "Mode", -#' choices = list( -#' "Up" = "up", -#' "Down" = "down", -#' "Both" = "both" -#' ), -#' selected = "both" -#' ), -#' shiny::numericInput("venn_pthresh", "P-value threshold", -#' value = 0.05, min = 0.01, max = 1, step = 0.01 -#' ) -#' ), -#' shiny::column( -#' 8, -#' shinycssloaders::withSpinner( -#' shiny::plotOutput("venn") -#' ) -#' ) -#' ), -#' shinyBS::bsCollapse( -#' shinyBS::bsCollapsePanel("INFO", -#' shiny::includeMarkdown(system.file("extdata", -#' "venn.md", -#' package = "DeeDee" -#' )), -#' style = "primary" -#' ) -#' ) -#' ), -#' -#' -#' # -------------------------------- upSet ----------------------------------- -#' shiny::tabPanel( -#' "UpSet Plot", -#' shiny::fluidRow( -#' shiny::column( -#' 4, -#' shiny::selectInput("upset_mode", "Mode", -#' choices = list( -#' "Up" = "up", -#' "Down" = "down", -#' "Both" = "both" -#' ), -#' selected = "both" -#' ), -#' shiny::conditionalPanel( -#' condition = "input.upset_mode == 'both'", -#' shiny::checkboxInput( -#' "upset_colored", -#' "Coloring", -#' TRUE -#' ) -#' ), -#' shiny::numericInput("upset_minset", "Minimum set size", -#' value = 10, min = 0, step = 1 -#' ), -#' shiny::numericInput("upset_pthresh", "P-value threshold", -#' value = 0.05, min = 0.01, max = 1, step = 0.01 -#' ) -#' ), -#' shiny::column( -#' 8, -#' shinycssloaders::withSpinner( -#' shiny::plotOutput("upset") -#' ) -#' ) -#' ), -#' shinyBS::bsCollapse( -#' shinyBS::bsCollapsePanel("INFO", -#' shiny::includeMarkdown(system.file("extdata", -#' "upset.md", -#' package = "DeeDee" -#' )), -#' style = "primary" -#' ) -#' ) -#' ), -#' -#' -#' # --------------------------------- qq ------------------------------------- -#' shiny::tabPanel( -#' "Quantile-Quantile Plot", -#' shiny::fluidRow( -#' shiny::column( -#' 4, -#' shiny::checkboxInput("qq_multiple", "Multiple", value = FALSE), -#' shiny::conditionalPanel( -#' condition = "!input.qq_multiple", -#' shiny::uiOutput("qq_choices1"), -#' shiny::uiOutput("qq_choices2"), -#' shiny::selectInput("qq_color_by", "Color by", -#' choices = list( -#' "1st p-value" = "pval1", -#' "2nd p-value" = "pval2" -#' ), -#' selected = "pval1" -#' ), -#' shiny::checkboxInput("qq_line", "As line", value = FALSE) -#' ), -#' shiny::conditionalPanel( -#' condition = "input.qq_multiple", -#' shiny::uiOutput("qq_ref"), -#' ), -#' shiny::numericInput("qq_pthresh", "P-value threshold", -#' value = 0.05, min = 0.01, max = 1, step = 0.01 -#' ) -#' ), -#' shiny::column( -#' 8, -#' shiny::conditionalPanel( -#' condition = "!input.qq_multiple", -#' shinycssloaders::withSpinner( -#' shiny::plotOutput("qq", -#' brush = "qq_brush" -#' ) -#' ) -#' ), -#' shiny::conditionalPanel( -#' condition = "input.qq_multiple", -#' shinycssloaders::withSpinner( -#' shiny::plotOutput("qq_mult") -#' ) -#' ) -#' ) -#' ), -#' shinyBS::bsCollapse( -#' shinyBS::bsCollapsePanel("INFO", -#' shiny::includeMarkdown(system.file("extdata", -#' "qq.md", -#' package = "DeeDee" -#' )), -#' style = "primary" -#' ) -#' ), -#' shiny::conditionalPanel( -#' condition = "!input.qq_multiple", -#' shiny::downloadButton( -#' "qq_brush_download", -#' "Download brushed genes (.xlsx)" -#' ), -#' shiny::tableOutput("qq_brush_info") -#' ) -#' ), -#' -#' -#' # --------------------------------- cat ------------------------------------ -#' shiny::tabPanel( -#' "Concordance At the Top Plot", -#' shiny::fluidRow( -#' shiny::column( -#' 4, -#' shiny::selectInput("cat_mode", "Mode", -#' choices = list( -#' "Up" = "up", -#' "Down" = "down", -#' "Both" = "both" -#' ), -#' selected = "up" -#' ), -#' shiny::numericInput("cat_maxrank", -#' "Max rank", -#' value = 1000, -#' min = 1 -#' ), -#' shiny::uiOutput("cat_choice"), -#' shiny::numericInput("cat_pthresh", "P-value threshold", -#' value = 0.05, min = 0.01, max = 1, step = 0.01 -#' ) -#' ), -#' shiny::column( -#' 8, -#' shinycssloaders::withSpinner( -#' shiny::plotOutput("cat") -#' ) -#' ) -#' ), -#' shinyBS::bsCollapse( -#' shinyBS::bsCollapsePanel("INFO", -#' shiny::includeMarkdown(system.file("extdata", -#' "cat.md", -#' package = "DeeDee" -#' )), -#' style = "primary" -#' ) -#' ) -#' ), -#' -#' # ------------------------------- summary ---------------------------------- -#' shiny::tabPanel( -#' "Summary", -#' shiny::numericInput("sum_pthresh", "P-value threshold", -#' value = 0.05, min = 0.01, max = 1, step = 0.01 -#' ), -#' shiny::actionButton("sum_button", "Create Summary"), -#' shinyBS::bsModal( -#' id = "sum_modal", -#' title = "DeeDee Summary", -#' trigger = "sum_button", -#' size = "large", -#' shiny::fluidPage( -#' shiny::downloadButton( -#' "sum_download", -#' "Download your DeeDee Summary (.html)" -#' ), -#' shinycssloaders::withSpinner(shiny::uiOutput("show_html_summary")) -#' ) -#' ), -#' shiny::fluidRow( -#' shinydashboard::tabBox( -#' title = "", -#' width = 12, -#' id = "sum_params", -#' shiny::tabPanel( -#' "Scatterplot", -#' shiny::uiOutput("sum_scatter_choices1"), -#' shiny::uiOutput("sum_scatter_choices2"), -#' shiny::selectInput("sum_scatter_color_by", "Color by", -#' choices = list( -#' "1st p-value" = "pval1", -#' "2nd p-value" = "pval2" -#' ), -#' selected = "pval1" -#' ) -#' ), -#' shiny::tabPanel( -#' "Heatmap", -#' shiny::numericInput("sum_heatmap_show_first", -#' "Show first", -#' value = 25, -#' min = 1 -#' ), -#' shiny::checkboxInput("sum_heatmap_show_gene_names", -#' "Show gene names", -#' value = FALSE -#' ), -#' shiny::checkboxInput("sum_heatmap_show_na", -#' "Show NA", -#' value = FALSE -#' ), -#' shiny::selectInput("sum_heatmap_dist", "Distance measure", -#' choices = list( -#' "Euclidean" = "euclidean", -#' "Manhattan" = "manhattan", -#' "Pearson" = "pearson", -#' "Spearman" = "spearman" -#' ), -#' selected = "euclidean" -#' ), -#' shiny::selectInput("sum_heatmap_clust", "Clustering method", -#' choices = list( -#' "Single" = "single", -#' "Complete" = "complete", -#' "Average" = "average", -#' "Centroid" = "centroid" -#' ), -#' selected = "average" -#' ) -#' ), -#' shiny::tabPanel( -#' "Venn Diagram", -#' shiny::selectInput("sum_venn_mode", "Mode", -#' choices = list( -#' "Up" = "up", -#' "Down" = "down", -#' "Both" = "both" -#' ), -#' selected = "both" -#' ) -#' ), -#' shiny::tabPanel( -#' "UpSet Plot", -#' shiny::selectInput("sum_upset_mode", "Mode", -#' choices = list( -#' "Up" = "up", -#' "Down" = "down", -#' "Both" = "both" -#' ), -#' selected = "both" -#' ), -#' shiny::conditionalPanel( -#' condition = "input.sum_upset_mode == 'both'", -#' shiny::checkboxInput( -#' "sum_upset_colored", -#' "Coloring", -#' TRUE -#' ) -#' ), -#' shiny::numericInput("sum_upset_min_setsize", "Minimum set size", -#' value = 10, min = 0, step = 1 -#' ) -#' ), -#' shiny::tabPanel( -#' "Quantile-Quantile Plot", -#' shiny::uiOutput("sum_qq_ref"), -#' ), -#' shiny::tabPanel( -#' "Concordance At the Top Plot", -#' shiny::selectInput("sum_cat_mode", "Mode", -#' choices = list( -#' "Up" = "up", -#' "Down" = "down", -#' "Both" = "both" -#' ), -#' selected = "up" -#' ), -#' shiny::numericInput("sum_cat_maxrank", -#' "Max rank", -#' value = 1000, -#' min = 1 -#' ), -#' shiny::uiOutput("sum_cat_choice") -#' ) -#' ) -#' ), -#' shinyBS::bsCollapse( -#' shinyBS::bsCollapsePanel("INFO", -#' shiny::includeMarkdown(system.file("extdata", -#' "summary.md", -#' package = "DeeDee" -#' )), -#' style = "primary" -#' ) -#' ) -#' ) -#' ) -#' -#' -#' -#' # ---------------------------------------------------------------------------- -#' # ----------------------------- S E R V E R ---------------------------------- -#' # ---------------------------------------------------------------------------- -#' -#' deedee_server <- function(input, output, session) { -#' -#' # ----------------------------- data input --------------------------------- -#' output$key_inp <- shiny::renderUI({ -#' shiny::req(input$organism) -#' anno <- input$organism -#' require(anno, character.only = TRUE) -#' shiny::selectInput("key_type", -#' "Key type of gene IDs", -#' choices = keytypes(get(anno)) -#' ) -#' }) -#' -#' mydata <- shiny::reactive({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' -#' ext <- c() -#' res <- list() -#' -#' if (!is.null(deedee_obj)) { -#' if (class(deedee_obj) == "DeeDeeObject") { -#' ext[1] <- "arg" -#' # df <- data.frame(filename, type, contrast, genes) -#' res[[1]] <- deedee_obj@DeeDeeList -#' } -#' else { -#' stop("Your argument input is not of type 'DeeDeeObject'. Please check your input and re-open the application.") -#' } -#' } -#' -#' k <- 0 -#' -#' # reading out input files -#' if (length(input$inp[, 1] > 0)) { -#' for (i in (length(ext) + 1):(length(input$inp[, 1]) + length(ext))) { -#' k <- k + 1 -#' ext[i] <- tools::file_ext(input$inp[k, "datapath"]) -#' shiny::validate(shiny::need( -#' ext[[i]] == "rds" || -#' ext[[i]] == "RDS" || -#' ext[[i]] == "xlsx" || -#' ext[[i]] == "txt", -#' "Please upload only .RDS, .xlsx or .txt files" -#' )) -#' -#' # .RDS input -#' if (ext[[i]] == "rds" || ext[[i]] == "RDS") { -#' res[[i]] <- readRDS(input$inp[[k, "datapath"]]) -#' res[[i]] <- rds_input(obj = res[[i]], -#' nm = input$inp[[k, "name"]]) -#' -#' # .xlsx input -#' } else if (ext[[i]] == "xlsx") { -#' sheets <- readxl::excel_sheets(input$inp[[k, "datapath"]]) -#' res[[i]] <- xlsx_input(obj = sheets, -#' path= input$inp[[k, "datapath"]], -#' nm = input$inp[k, "name"]) -#' -#' # .txt input -#' } else if (ext[[i]] == "txt") { -#' temp <- utils::read.table(input$inp[[k, "datapath"]]) -#' res[[i]] <- list(temp) -#' names(res[[i]]) <- unlist(strsplit(input$inp[k, "name"], -#' split = ".", -#' fixed = TRUE -#' ))[1] -#' } else { -#' return(NULL) -#' } -#' } -#' } -#' -#' # merging input data structures -#' dat <- list() -#' for (i in 1:length(res)) { -#' for (j in 1:length(res[[i]])) { -#' checkmate::assert_subset(names(res[[i]][[j]]), c("logFC", "pval")) -#' dat[[names(res[[i]])[[j]]]] <- res[[i]][[j]] -#' } -#' } -#' -#' obj <- DeeDeeObject(DeeDeeList = dat) -#' -#' return(obj) -#' }) -#' -#' output$datasets <- shiny::renderUI({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::checkboxGroupInput("select_datasets", -#' "Select datasets to be used", -#' choices = names(mydata()@DeeDeeList), -#' selected = names(mydata()@DeeDeeList) -#' ) -#' }) -#' -#' mydata_use <- shiny::reactive({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' use <- input$select_datasets -#' dat2 <- list() -#' for (i in use) { -#' dat2[i] <- mydata()@DeeDeeList[i] -#' } -#' return(dat2) -#' }) -#' -#' output$inp_download <- shiny::downloadHandler( -#' filename = "DeeDee_object.RDS", -#' content = function(file) { -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' dl <- DeeDeeObject(DeeDeeList = mydata_use()) -#' saveRDS(dl, file) -#' } -#' ) -#' -#' output$inp_infobox <- shiny::renderTable({ -#' shiny::validate(shiny::need( -#' !is.null(mydata()@DeeDeeList), -#' "Faulty input data provided." -#' )) -#' -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' -#' input_infobox(deedee_obj = deedee_obj, -#' sets = input$inp, -#' md = mydata()) -#' }) -#' -#' -#' # ------------------------------- scatter ---------------------------------- -#' # --- selectors --- -#' output$scatter_choices1 <- shiny::renderUI({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::selectInput("scatter_select1", -#' "1st data set", -#' choices = names(mydata_use()) -#' ) -#' }) -#' -#' output$scatter_choices2 <- shiny::renderUI({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::selectInput("scatter_select2", -#' "2nd data set", -#' selected = names(mydata_use())[2], -#' choices = names(mydata_use()) -#' ) -#' }) -#' -#' # --- plot output --- -#' ranges <- shiny::reactiveValues(x = NULL, y = NULL) -#' -#' output$scatter <- shiny::renderPlot({ -#' shiny::validate( -#' shiny::need( -#' length(mydata()@DeeDeeList) >= 2, -#' "Please upload at least two contrasts." -#' ) -#' ) -#' shiny::validate( -#' shiny::need( -#' length(mydata_use()) >= 2, -#' "Please select at least two contrasts." -#' ) -#' ) -#' -#' sel1 <- match(input$scatter_select1, names(mydata_use())) -#' sel2 <- match(input$scatter_select2, names(mydata_use())) -#' shiny::req(sel1) -#' shiny::req(sel2) -#' res <- deedee_scatter(mydata_use(), -#' select1 = sel1, -#' select2 = sel2, -#' color_by = input$scatter_color_by, -#' pthresh = input$scatter_pthresh -#' ) -#' shiny::validate( -#' shiny::need(!is.null(res), "No common genes in input datasets.") -#' ) -#' res + -#' ggplot2::coord_cartesian( -#' xlim = ranges$x, -#' ylim = ranges$y, -#' expand = FALSE -#' ) -#' }) -#' -#' # --- brushing --- -#' # scatter_download_button <- shiny::renderUI( -#' # conditionalPanel("output.scatter_brushed()", -#' # downloadButton("scatter_brush_download", -#' # "Download brushed genes (.txt)"))) -#' -#' scatter_brushed <- shiny::reactive({ -#' shiny::req(input$scatter_brush) -#' df <- data.frame( -#' x = mydata_use()[[input$scatter_select1]], -#' y = mydata_use()[[input$scatter_select2]] -#' ) -#' -#' df <- subset(df, x.pval < 0.05 & y.pval < 0.05) -#' -#' names(df) <- c( -#' paste(input$scatter_select1, ".logFC", sep = ""), -#' paste(input$scatter_select1, ".pval", sep = ""), -#' paste(input$scatter_select2, ".logFC", sep = ""), -#' paste(input$scatter_select2, ".pval", sep = "") -#' ) -#' shiny::brushedPoints(df, -#' input$scatter_brush, -#' xvar = paste(input$scatter_select1, ".logFC", sep = ""), -#' yvar = paste(input$scatter_select2, ".logFC", sep = "") -#' ) -#' }) -#' -#' output$scatter_brush_info <- shiny::renderTable( -#' { -#' shiny::req(scatter_brushed()) -#' scatter_brushed() -#' }, -#' rownames = TRUE -#' ) -#' -#' output$scatter_brush_download <- shiny::downloadHandler( -#' filename = "scatter_brushed_genes.xlsx", -#' content = function(file) { -#' shiny::req(input$scatter_brush) -#' bru <- tibble::rownames_to_column(scatter_brushed()) -#' first <- data.frame(bru[1], bru[2], bru[3]) -#' nm1 <- unlist(strsplit(names(first)[2], -#' split = ".", -#' fixed = TRUE -#' ))[1] -#' names(first) <- c("rowname", "logFC", "pval") -#' second <- data.frame(bru[1], bru[4], bru[5]) -#' nm2 <- unlist(strsplit(names(second)[2], -#' split = ".", -#' fixed = TRUE -#' ))[1] -#' names(second) <- c("rowname", "logFC", "pval") -#' l <- list(first, second) -#' names(l) <- c(nm1, nm2) -#' writexl::write_xlsx(l, file, col_names = TRUE) -#' } -#' ) -#' -#' # --- enrich --- -#' enrich <- shiny::reactive({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::validate(shiny::need( -#' scatter_brushed(), -#' "No brushed genes." -#' )) -#' sel1 <- match(input$scatter_select1, names(mydata_use())) -#' sel2 <- match(input$scatter_select2, names(mydata_use())) -#' shiny::req(sel1) -#' shiny::req(sel2) -#' data <- list(mydata_use()[[sel1]], mydata_use()[[sel2]]) -#' res <- ora( -#' geneList = scatter_brushed(), -#' universe = data, -#' orgDB = input$organism, -#' key_type = input$key_type -#' ) -#' shiny::validate(shiny::need( -#' class(res) == "enrichResult", -#' "Not working." -#' )) -#' -#' return(res) -#' }) -#' -#' output$scatter_ora <- shiny::renderPlot({ -#' shiny::validate(shiny::need( -#' !is.null(enrich()), -#' "Something went wrong..." -#' )) -#' en <- enrich() -#' en_df <- as.data.frame(en) -#' shiny::validate(shiny::need( -#' nrow(en_df) > 0, -#' "No enriched terms found." -#' )) -#' options(ggrepel.max.overlaps = Inf) -#' plt <- enrichplot::emapplot(enrichplot::pairwise_termsim(en)) -#' shiny::validate(shiny::need( -#' !is.null(plt), -#' "No enriched terms found." -#' )) -#' print(plt) -#' }) -#' -#' output$ora_download <- shiny::downloadHandler( -#' filename = "enrichment_results.RDS", -#' content = function(file) { -#' shiny::req(!is.null(enrich())) -#' saveRDS(enrich(), file) -#' } -#' ) -#' -#' # ------------------------------- heatmap ---------------------------------- -#' output$heatmap_errors <- shiny::renderText({ -#' shiny::validate( -#' shiny::need( -#' length(mydata()@DeeDeeList) >= 2, -#' "Please upload at least two contrasts." -#' ) -#' ) -#' shiny::validate( -#' shiny::need( -#' length(mydata_use()) >= 2, -#' "Please select at least two contrasts." -#' ) -#' ) -#' shiny::validate( -#' shiny::need( -#' !is.null(heatmap_output()), -#' "No common genes in input datasets." -#' ) -#' ) -#' "" -#' }) -#' -#' heatmap_output <- shiny::reactive({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::req(input$heatmap_show_first) -#' shiny::req(mydata_use()) -#' res <- deedee_heatmap(mydata_use(), -#' show_first = input$heatmap_show_first, -#' show_gene_names = input$heatmap_show_gene_names, -#' dist = input$heatmap_dist, -#' clust = input$heatmap_clust, -#' pthresh = input$heatmap_pthresh, -#' show_na = input$heatmap_showNA -#' ) -#' shiny::validate( -#' shiny::need(!is.null(res), "No common genes in input datasets.") -#' ) -#' -#' res <- ComplexHeatmap::draw(res) -#' -#' return(res) -#' }) -#' -#' listen <- shiny::reactive({ -#' list( -#' input$heatmap_show_first, -#' input$heatmap_show_gene_names, -#' input$heatmap_dist, -#' input$heatmap_clust, -#' input$heatmap_pthresh, -#' input$heatmap_showNA, -#' mydata_use() -#' ) -#' }) -#' -#' global <- reactiveValues(notify = FALSE) -#' -#' shiny::observeEvent(listen(), { -#' global$notify <- TRUE -#' }) -#' -#' shiny::observeEvent(input$tabs, { -#' if (input$tabs == "Heatmap") { -#' if (global$notify == TRUE) { -#' shiny::showNotification("Something changed. Click 'Create heatmap' to reload.", -#' duration = NULL, -#' type = "warning", -#' id = "heatmap_warning" -#' ) -#' } -#' } else { -#' shiny::removeNotification("heatmap_warning") -#' } -#' }) -#' -#' shiny::observeEvent(listen(), { -#' req(input$tabs == "Heatmap") -#' shiny::showNotification("Something changed. Click 'Create heatmap' to reload.", -#' duration = NULL, -#' type = "warning", -#' id = "heatmap_warning" -#' ) -#' }) -#' -#' shiny::observeEvent(input$heatmap_action, { -#' shiny::req(length(mydata_use()) >= 2) -#' global$notify <- FALSE -#' InteractiveComplexHeatmap::makeInteractiveComplexHeatmap( -#' input, -#' output, -#' session, -#' heatmap_output() -#' ) -#' shiny::removeNotification("heatmap_warning") -#' }) -#' -#' -#' # -------------------------------- venn ------------------------------------ -#' output$venn <- shiny::renderPlot({ -#' shiny::validate( -#' shiny::need( -#' length(mydata()@DeeDeeList) >= 2, -#' "Please upload at least two contrasts." -#' ) -#' ) -#' shiny::validate( -#' shiny::need( -#' length(mydata_use()) >= 2, -#' "Please select at least two contrasts." -#' ) -#' ) -#' -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' res <- deedee_venn(mydata_use(), -#' mode = input$venn_mode, -#' pthresh = input$venn_pthresh -#' ) -#' -#' shiny::validate( -#' shiny::need( -#' !is.null(res), -#' "No genes in your datasets. Maybe your specified p-value threshold is too low?" -#' ) -#' ) -#' -#' res -#' }) -#' -#' -#' # -------------------------------- upset ----------------------------------- -#' output$upset <- shiny::renderPlot({ -#' shiny::validate( -#' shiny::need( -#' length(mydata()@DeeDeeList) >= 2, -#' "Please upload at least two contrasts." -#' ) -#' ) -#' shiny::validate( -#' shiny::need( -#' length(mydata_use()) >= 2, -#' "Please select at least two contrasts." -#' ) -#' ) -#' -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' if (input$upset_mode == "both" && input$upset_colored) { -#' mode <- "both_colored" -#' } else { -#' mode <- input$upset_mode -#' } -#' res <- deedee_upset(mydata_use(), -#' mode = mode, -#' pthresh = input$upset_pthresh, -#' min_setsize = input$upset_minset -#' ) -#' -#' shiny::validate( -#' shiny::need( -#' !is.null(res), -#' "No genes in your datasets. Maybe your specified p-value threshold is too low?" -#' ) -#' ) -#' res -#' }) -#' -#' -#' # --------------------------------- qq ------------------------------------- -#' output$qq_choices1 <- shiny::renderUI({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::selectInput("qq_select1", -#' "1st data set", -#' choices = names(mydata_use()) -#' ) -#' }) -#' -#' output$qq_choices2 <- shiny::renderUI({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::selectInput("qq_select2", -#' "2nd data set", -#' selected = names(mydata_use())[2], -#' choices = names(mydata_use()) -#' ) -#' }) -#' -#' output$qq_ref <- shiny::renderUI({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::selectInput("qq_reference", -#' "Reference", -#' choices = names(mydata_use()) -#' ) -#' }) -#' -#' output$qq <- shiny::renderPlot({ -#' shiny::validate( -#' shiny::need( -#' length(mydata()@DeeDeeList) >= 2, -#' "Please upload at least two contrasts." -#' ) -#' ) -#' shiny::validate( -#' shiny::need( -#' length(mydata_use()) >= 2, -#' "Please select at least two contrasts." -#' ) -#' ) -#' -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' sel1 <- match(input$qq_select1, names(mydata_use())) -#' sel2 <- match(input$qq_select2, names(mydata_use())) -#' shiny::req(sel1) -#' shiny::req(sel2) -#' res <- deedee_qq(mydata_use(), -#' select1 = sel1, -#' select2 = sel2, -#' color_by = input$qq_color_by, -#' pthresh = input$qq_pthresh, -#' as_line = input$qq_line -#' ) -#' -#' shiny::validate( -#' shiny::need( -#' !is.null(res), -#' "No genes in your datasets. Maybe your specified p-value threshold is too low?" -#' ) -#' ) -#' -#' res -#' }) -#' -#' output$qq_mult <- shiny::renderPlot({ -#' shiny::validate( -#' shiny::need( -#' length(mydata()@DeeDeeList) >= 2, -#' "Please upload at least two contrasts." -#' ) -#' ) -#' shiny::validate( -#' shiny::need( -#' length(mydata_use()) >= 2, -#' "Please select at least two contrasts." -#' ) -#' ) -#' -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' ref <- match(input$qq_reference, names(mydata_use())) -#' shiny::req(ref) -#' res <- deedee_qqmult(mydata_use(), -#' ref = ref, -#' pthresh = input$qq_pthresh -#' ) -#' -#' shiny::validate( -#' shiny::need( -#' !is.null(res), -#' "No genes in your datasets. Maybe your specified p-value threshold is too low?" -#' ) -#' ) -#' -#' res -#' }) -#' -#' qq_brushed <- shiny::reactive({ -#' shiny::req(input$qq_brush) -#' x <- mydata()@DeeDeeList[[input$qq_select1]]$logFC -#' y <- mydata()@DeeDeeList[[input$qq_select2]]$logFC -#' pval1 <- mydata()@DeeDeeList[[input$qq_select2]]$pval -#' pval2 <- mydata()@DeeDeeList[[input$qq_select2]]$pval -#' names(x) <- row.names(mydata()@DeeDeeList[[input$qq_select2]]) -#' names(y) <- row.names(mydata()@DeeDeeList[[input$qq_select2]]) -#' -#' sx_idx <- order(x) -#' sy_idx <- order(y) -#' -#' sx <- x[sx_idx] -#' sy <- y[sy_idx] -#' pval1 <- pval1[sx_idx] -#' pval2 <- pval2[sy_idx] -#' -#' lenx <- length(sx) -#' leny <- length(sy) -#' -#' if (leny < lenx) { -#' sx <- stats::approx(1L:lenx, sx, n = leny)$y -#' pval1 <- stats::approx(1L:lenx, pval1, n = leny)$y -#' } -#' if (leny > lenx) { -#' sy <- stats::approx(1L:leny, sy, n = lenx)$y -#' pval2 <- stats::approx(1L:leny, pval2, n = lenx)$y -#' } -#' -#' sx <- tibble::rownames_to_column(as.data.frame(sx)) -#' sx[3] <- pval1 -#' sy <- tibble::rownames_to_column(as.data.frame(sy)) -#' sy[3] <- pval2 -#' -#' qq <- data.frame( -#' x = sx, -#' y = sy -#' ) -#' -#' names(qq) <- c( -#' paste(input$qq_select1, "gene", sep = "."), -#' paste(input$qq_select1, "logFC", sep = "."), -#' paste(input$qq_select1, "pval", sep = "."), -#' paste(input$qq_select2, "gene", sep = "."), -#' paste(input$qq_select2, "logFC", sep = "."), -#' paste(input$qq_select2, "pval", sep = ".") -#' ) -#' -#' temp1 <- paste(input$qq_select1, "logFC", sep = ".") -#' temp2 <- paste(input$qq_select2, "logFC", sep = ".") -#' -#' shiny::brushedPoints(qq, -#' input$qq_brush, -#' xvar = temp1, -#' yvar = temp2 -#' ) -#' }) -#' -#' output$qq_brush_info <- shiny::renderTable( -#' { -#' shiny::req(qq_brushed()) -#' qq_brushed() -#' }, -#' rownames = FALSE -#' ) -#' -#' output$qq_brush_download <- shiny::downloadHandler( -#' filename = "qq_brushed_genes.xlsx", -#' content = function(file) { -#' shiny::req(input$qq_brush) -#' bru <- qq_brushed() -#' first <- data.frame(bru[1], bru[2], bru[3]) -#' nm1 <- unlist(strsplit(names(first)[2], -#' split = ".", -#' fixed = TRUE -#' ))[1] -#' names(first) <- c("rowname", "logFC", "pval") -#' second <- data.frame(bru[4], bru[5], bru[6]) -#' nm2 <- unlist(strsplit(names(second)[2], -#' split = ".", -#' fixed = TRUE -#' ))[1] -#' names(second) <- c("rowname", "logFC", "pval") -#' l <- list(first, second) -#' names(l) <- c(nm1, nm2) -#' writexl::write_xlsx(l, file, col_names = TRUE) -#' } -#' ) -#' -#' -#' # --------------------------------- cat ------------------------------------ -#' output$cat_choice <- shiny::renderUI({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::selectInput("cat_ref", -#' "Reference contrast", -#' selected = names(mydata_use())[1], -#' choices = names(mydata_use()) -#' ) -#' }) -#' -#' output$cat <- shiny::renderPlot({ -#' shiny::validate( -#' shiny::need( -#' length(mydata()@DeeDeeList) >= 2, -#' "Please upload at least two contrasts." -#' ) -#' ) -#' shiny::validate( -#' shiny::need( -#' length(mydata_use()) >= 2, -#' "Please select at least two contrasts." -#' ) -#' ) -#' -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::req(input$cat_maxrank) -#' shiny::req(input$cat_ref) -#' -#' ref <- match(input$cat_ref, names(mydata_use())) -#' res <- deedee_cat(mydata_use(), -#' ref = ref, -#' maxrank = input$cat_maxrank, -#' mode = input$cat_mode, -#' pthresh = input$cat_pthresh -#' ) -#' -#' shiny::validate( -#' shiny::need( -#' !is.null(res), -#' "No genes in your datasets. Maybe your specified p-value threshold is too low?" -#' ) -#' ) -#' -#' res -#' }) -#' -#' # ------------------------------- summary ---------------------------------- -#' output$sum_scatter_choices1 <- shiny::renderUI({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::selectInput("sum_scatter_select1", -#' "1st data set", -#' choices = names(mydata_use()) -#' ) -#' }) -#' -#' output$sum_scatter_choices2 <- shiny::renderUI({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::selectInput("sum_scatter_select2", -#' "2nd data set", -#' selected = names(mydata_use())[2], -#' choices = names(mydata_use()) -#' ) -#' }) -#' -#' output$sum_qq_ref <- shiny::renderUI({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::selectInput("sum_qqmult_ref", -#' "Reference", -#' selected = names(mydata_use())[1], -#' choices = names(mydata_use()) -#' ) -#' }) -#' -#' output$sum_cat_choice <- shiny::renderUI({ -#' shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) -#' shiny::selectInput("sum_cat_ref", -#' "Reference contrast", -#' selected = names(mydata_use())[1], -#' choices = names(mydata_use()) -#' ) -#' }) -#' -#' summary <- reactive({ -#' shiny::validate( -#' shiny::need( -#' length(mydata()@DeeDeeList) >= 2, -#' "Please upload at least two contrasts." -#' ) -#' ) -#' shiny::validate( -#' shiny::need( -#' length(mydata_use()) >= 2, -#' "Please select at least two contrasts." -#' ) -#' ) -#' -#' shiny::req(mydata_use()) -#' -#' outfile <- tempfile(fileext = ".html") -#' -#' sc_sel1 <- match(input$sum_scatter_select1, names(mydata_use())) -#' if (is.null(sc_sel1)) { -#' sc_sel1 <- 1 -#' } -#' sc_sel2 <- match(input$sum_scatter_select2, names(mydata_use())) -#' if (is.null(sc_sel2)) { -#' sc_sel2 <- 2 -#' } -#' -#' qq_ref <- match(input$sum_qqmult_ref, names(mydata_use())) -#' if (length(qq_ref) == 0) { -#' qq_ref <- 1 -#' } -#' -#' cat_ref <- match(input$sum_cat_ref, names(mydata_use())) -#' if (length(cat_ref) == 0) { -#' cat_ref <- 1 -#' } -#' -#' if (input$sum_upset_mode == "both" && input$sum_upset_colored) { -#' ups_mode <- "both_colored" -#' } else { -#' ups_mode <- input$sum_upset_mode -#' } -#' -#' shiny::req(sc_sel1) -#' shiny::req(sc_sel2) -#' shiny::req(qq_ref) -#' shiny::req(cat_ref) -#' -#' deedee_summary(mydata_use(), -#' output_path = outfile, -#' overwrite = TRUE, -#' pthresh = input$sum_pthresh, -#' scatter_select1 = sc_sel1, -#' scatter_select2 = sc_sel2, -#' scatter_color_by = input$sum_scatter_color_by, -#' heatmap_show_first = input$sum_heatmap_show_first, -#' heatmap_show_gene_names = input$sum_heatmap_show_gene_names, -#' heatmap_dist = input$sum_heatmap_dist, -#' heatmap_clust = input$sum_heatmap_clust, -#' heatmap_show_na = input$sum_heatmap_show_na, -#' venn_mode = input$sum_venn_mode, -#' upset_mode = ups_mode, -#' upset_min_setsize = input$sum_upset_min_setsize, -#' qqmult_ref = qq_ref, -#' cat_ref = cat_ref, -#' cat_maxrank = input$sum_cat_maxrank, -#' cat_mode = input$sum_cat_mode, -#' silent = TRUE, -#' open_file = FALSE -#' ) -#' -#' return(outfile) -#' }) -#' -#' output$sum_download <- shiny::downloadHandler( -#' filename = "DeeDee_Summary.html", -#' content = function(file) { -#' shiny::req(summary()) -#' -#' file.copy(summary(), file) -#' } -#' ) -#' -#' output$show_html_summary <- shiny::renderUI({ -#' shiny::req(summary()) -#' -#' out <- tempfile(fileext = ".html") -#' -#' xml2::write_html(rvest::html_node(xml2::read_html(summary()), "body"), -#' file = out -#' ) -#' -#' shiny::includeHTML(path = out) -#' }) -#' } -#' -#' -#' # ------------------------------ run application ------------------------------- -#' shiny::shinyOptions(deedee_obj = deedee_obj) -#' shiny::shinyApp(ui = deedee_ui, server = deedee_server) +#' if (interactive()) { +#' deedee_app(dd_list) #' } +deedee_app <- function(deedee_obj = NULL) { + + # ---------------------------------------------------------------------------- + # --------------------------------- U I -------------------------------------- + # ---------------------------------------------------------------------------- + + deedee_ui <- shiny::navbarPage("DeeDee", + id = "tabs", + theme = shinythemes::shinytheme("flatly"), + + + # ----------------------------- data input --------------------------------- + shiny::tabPanel( + "Input", + shiny::fluidRow( + shiny::column( + 8, + shiny::fileInput("inp", "Upload your DEA results or DeeDee objects", + multiple = TRUE, + accept = c(".rds", ".txt", ".xlsx"), + placeholder = "No files selected" + ), + shiny::tableOutput("inp_infobox") + ), + shiny::column( + 4, + shiny::selectInput("organism", "Organism", + choices = list( + "Human" = "org.Hs.eg.db", + "Mouse" = "org.Mm.eg.db", + "Fly" = "org.Dm.eg.db", + "Rat" = "org.Rn.eg.db" + ) + ), + shiny::uiOutput("key_inp"), + shiny::uiOutput("datasets"), + shiny::conditionalPanel( + "output.inp_infobox", + shiny::downloadButton( + "inp_download", + "Download DeeDee object (.RDS)" + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "input.md", + package = "DeeDee" + )), + style = "primary" + ) + ), + + # shiny::downloadButton("vignette", + # "Download DeeDee Package vignette (.html)") + ), + + + # ------------------------------- scatter ---------------------------------- + shiny::tabPanel( + "Scatterplot", + shiny::fluidRow( + shiny::column( + 4, + shiny::uiOutput("scatter_choices1"), + shiny::uiOutput("scatter_choices2"), + shiny::selectInput("scatter_color_by", "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" + ), + shiny::numericInput("scatter_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ), + shiny::actionButton("ora_button", "Over-representation analysis") + ), + shiny::column( + 8, + shinycssloaders::withSpinner( + shiny::plotOutput("scatter", + # dblclick = "scatter_dblclick", + brush = shiny::brushOpts( + id = "scatter_brush", + resetOnNew = FALSE + ) + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "scatter.md", + package = "DeeDee" + )), + style = "primary" + ) + ), + shinyBS::bsModal( + id = "modalExample", + title = "Gene Ontology over-representation analysis", + trigger = "ora_button", + size = "large", + shinycssloaders::withSpinner(shiny::plotOutput("scatter_ora")), + shiny::downloadButton( + "ora_download", + "Download enrichment result object (.RDS)" + ) + ), + shiny::downloadButton( + "scatter_brush_download", + "Download brushed genes (.xlsx)" + ), + shiny::tableOutput("scatter_brush_info") + ), + + + # ------------------------------- heatmap ---------------------------------- + shiny::tabPanel( + "Heatmap", + id = "heatmap", + shiny::fluidRow( + shiny::column( + 4, + shiny::numericInput("heatmap_show_first", + "Show first", + value = 25, + min = 1 + ), + shiny::checkboxInput("heatmap_show_gene_names", + "Show gene names", + value = FALSE + ), + shiny::checkboxInput("heatmap_showNA", + "Show NA", + value = FALSE + ), + shiny::selectInput("heatmap_dist", "Distance measure", + choices = list( + "Euclidean" = "euclidean", + "Manhattan" = "manhattan", + "Pearson" = "pearson", + "Spearman" = "spearman" + ), + selected = "euclidean" + ), + shiny::selectInput("heatmap_clust", "Clustering method", + choices = list( + "Single" = "single", + "Complete" = "complete", + "Average" = "average", + "Centroid" = "centroid" + ), + selected = "average" + ), + shiny::numericInput("heatmap_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ), + shiny::actionButton("heatmap_action", "Create heatmap") + ), + shiny::column( + 8, + shiny::textOutput("heatmap_errors"), + shiny::conditionalPanel( + "output.heatmap_errors == ''", + shinycssloaders::withSpinner( + InteractiveComplexHeatmap:: + InteractiveComplexHeatmapOutput() + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "heatmap.md", + package = "DeeDee" + )), + style = "primary" + ) + ) + ), + + + # -------------------------------- venn ------------------------------------ + shiny::tabPanel( + "Venn Diagram", + shiny::fluidRow( + shiny::column( + 4, + shiny::selectInput("venn_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ), + shiny::numericInput("venn_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + 8, + shinycssloaders::withSpinner( + shiny::plotOutput("venn") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "venn.md", + package = "DeeDee" + )), + style = "primary" + ) + ) + ), + + + # -------------------------------- upSet ----------------------------------- + shiny::tabPanel( + "UpSet Plot", + shiny::fluidRow( + shiny::column( + 4, + shiny::selectInput("upset_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ), + shiny::conditionalPanel( + condition = "input.upset_mode == 'both'", + shiny::checkboxInput( + "upset_colored", + "Coloring", + TRUE + ) + ), + shiny::numericInput("upset_minset", "Minimum set size", + value = 10, min = 0, step = 1 + ), + shiny::numericInput("upset_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + 8, + shinycssloaders::withSpinner( + shiny::plotOutput("upset") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "upset.md", + package = "DeeDee" + )), + style = "primary" + ) + ) + ), + + + # --------------------------------- qq ------------------------------------- + shiny::tabPanel( + "Quantile-Quantile Plot", + shiny::fluidRow( + shiny::column( + 4, + shiny::checkboxInput("qq_multiple", "Multiple", value = FALSE), + shiny::conditionalPanel( + condition = "!input.qq_multiple", + shiny::uiOutput("qq_choices1"), + shiny::uiOutput("qq_choices2"), + shiny::selectInput("qq_color_by", "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" + ), + shiny::checkboxInput("qq_line", "As line", value = FALSE) + ), + shiny::conditionalPanel( + condition = "input.qq_multiple", + shiny::uiOutput("qq_ref"), + ), + shiny::numericInput("qq_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + 8, + shiny::conditionalPanel( + condition = "!input.qq_multiple", + shinycssloaders::withSpinner( + shiny::plotOutput("qq", + brush = "qq_brush" + ) + ) + ), + shiny::conditionalPanel( + condition = "input.qq_multiple", + shinycssloaders::withSpinner( + shiny::plotOutput("qq_mult") + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "qq.md", + package = "DeeDee" + )), + style = "primary" + ) + ), + shiny::conditionalPanel( + condition = "!input.qq_multiple", + shiny::downloadButton( + "qq_brush_download", + "Download brushed genes (.xlsx)" + ), + shiny::tableOutput("qq_brush_info") + ) + ), + + + # --------------------------------- cat ------------------------------------ + shiny::tabPanel( + "Concordance At the Top Plot", + shiny::fluidRow( + shiny::column( + 4, + shiny::selectInput("cat_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "up" + ), + shiny::numericInput("cat_maxrank", + "Max rank", + value = 1000, + min = 1 + ), + shiny::uiOutput("cat_choice"), + shiny::numericInput("cat_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + 8, + shinycssloaders::withSpinner( + shiny::plotOutput("cat") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "cat.md", + package = "DeeDee" + )), + style = "primary" + ) + ) + ), + + # ------------------------------- summary ---------------------------------- + shiny::tabPanel( + "Summary", + shiny::numericInput("sum_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ), + shiny::actionButton("sum_button", "Create Summary"), + shinyBS::bsModal( + id = "sum_modal", + title = "DeeDee Summary", + trigger = "sum_button", + size = "large", + shiny::fluidPage( + shiny::downloadButton( + "sum_download", + "Download your DeeDee Summary (.html)" + ), + shinycssloaders::withSpinner(shiny::uiOutput("show_html_summary")) + ) + ), + shiny::fluidRow( + shinydashboard::tabBox( + title = "", + width = 12, + id = "sum_params", + shiny::tabPanel( + "Scatterplot", + shiny::uiOutput("sum_scatter_choices1"), + shiny::uiOutput("sum_scatter_choices2"), + shiny::selectInput("sum_scatter_color_by", "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" + ) + ), + shiny::tabPanel( + "Heatmap", + shiny::numericInput("sum_heatmap_show_first", + "Show first", + value = 25, + min = 1 + ), + shiny::checkboxInput("sum_heatmap_show_gene_names", + "Show gene names", + value = FALSE + ), + shiny::checkboxInput("sum_heatmap_show_na", + "Show NA", + value = FALSE + ), + shiny::selectInput("sum_heatmap_dist", "Distance measure", + choices = list( + "Euclidean" = "euclidean", + "Manhattan" = "manhattan", + "Pearson" = "pearson", + "Spearman" = "spearman" + ), + selected = "euclidean" + ), + shiny::selectInput("sum_heatmap_clust", "Clustering method", + choices = list( + "Single" = "single", + "Complete" = "complete", + "Average" = "average", + "Centroid" = "centroid" + ), + selected = "average" + ) + ), + shiny::tabPanel( + "Venn Diagram", + shiny::selectInput("sum_venn_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ) + ), + shiny::tabPanel( + "UpSet Plot", + shiny::selectInput("sum_upset_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ), + shiny::conditionalPanel( + condition = "input.sum_upset_mode == 'both'", + shiny::checkboxInput( + "sum_upset_colored", + "Coloring", + TRUE + ) + ), + shiny::numericInput("sum_upset_min_setsize", "Minimum set size", + value = 10, min = 0, step = 1 + ) + ), + shiny::tabPanel( + "Quantile-Quantile Plot", + shiny::uiOutput("sum_qq_ref"), + ), + shiny::tabPanel( + "Concordance At the Top Plot", + shiny::selectInput("sum_cat_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "up" + ), + shiny::numericInput("sum_cat_maxrank", + "Max rank", + value = 1000, + min = 1 + ), + shiny::uiOutput("sum_cat_choice") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "summary.md", + package = "DeeDee" + )), + style = "primary" + ) + ) + ) + ) + + + + # ---------------------------------------------------------------------------- + # ----------------------------- S E R V E R ---------------------------------- + # ---------------------------------------------------------------------------- + + deedee_server <- function(input, output, session) { + + # ----------------------------- data input --------------------------------- + output$key_inp <- shiny::renderUI({ + shiny::req(input$organism) + anno <- input$organism + require(anno, character.only = TRUE) + shiny::selectInput("key_type", + "Key type of gene IDs", + choices = keytypes(get(anno)) + ) + }) + + mydata <- shiny::reactive({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + + ext <- c() + res <- list() + + if (!is.null(deedee_obj)) { + if (class(deedee_obj) == "DeeDeeObject") { + ext[1] <- "arg" + # df <- data.frame(filename, type, contrast, genes) + res[[1]] <- deedee_obj@DeeDeeList + } + else { + stop("Your argument input is not of type 'DeeDeeObject'. Please check your input and re-open the application.") + } + } + + k <- 0 + + # reading out input files + if (length(input$inp[, 1] > 0)) { + for (i in (length(ext) + 1):(length(input$inp[, 1]) + length(ext))) { + k <- k + 1 + ext[i] <- tools::file_ext(input$inp[k, "datapath"]) + shiny::validate(shiny::need( + ext[[i]] == "rds" || + ext[[i]] == "RDS" || + ext[[i]] == "xlsx" || + ext[[i]] == "txt", + "Please upload only .RDS, .xlsx or .txt files" + )) + + # .RDS input + if (ext[[i]] == "rds" || ext[[i]] == "RDS") { + res[[i]] <- readRDS(input$inp[[k, "datapath"]]) + res[[i]] <- rds_input(obj = res[[i]], + nm = input$inp[[k, "name"]]) + + # .xlsx input + } else if (ext[[i]] == "xlsx") { + sheets <- readxl::excel_sheets(input$inp[[k, "datapath"]]) + res[[i]] <- xlsx_input(obj = sheets, + path= input$inp[[k, "datapath"]], + nm = input$inp[k, "name"]) + + # .txt input + } else if (ext[[i]] == "txt") { + temp <- utils::read.table(input$inp[[k, "datapath"]]) + res[[i]] <- list(temp) + names(res[[i]]) <- unlist(strsplit(input$inp[k, "name"], + split = ".", + fixed = TRUE + ))[1] + } else { + return(NULL) + } + } + } + + # merging input data structures + dat <- list() + for (i in 1:length(res)) { + for (j in 1:length(res[[i]])) { + checkmate::assert_subset(names(res[[i]][[j]]), c("logFC", "pval")) + dat[[names(res[[i]])[[j]]]] <- res[[i]][[j]] + } + } + + obj <- DeeDeeObject(DeeDeeList = dat) + + return(obj) + }) + + output$datasets <- shiny::renderUI({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::checkboxGroupInput("select_datasets", + "Select datasets to be used", + choices = names(mydata()@DeeDeeList), + selected = names(mydata()@DeeDeeList) + ) + }) + + mydata_use <- shiny::reactive({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + use <- input$select_datasets + dat2 <- list() + for (i in use) { + dat2[i] <- mydata()@DeeDeeList[i] + } + return(dat2) + }) + + output$inp_download <- shiny::downloadHandler( + filename = "DeeDee_object.RDS", + content = function(file) { + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + dl <- DeeDeeObject(DeeDeeList = mydata_use()) + saveRDS(dl, file) + } + ) + + output$inp_infobox <- shiny::renderTable({ + shiny::validate(shiny::need( + !is.null(mydata()@DeeDeeList), + "Faulty input data provided." + )) + + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + + input_infobox(deedee_obj = deedee_obj, + sets = input$inp, + md = mydata()) + }) + + + # ------------------------------- scatter ---------------------------------- + # --- selectors --- + output$scatter_choices1 <- shiny::renderUI({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::selectInput("scatter_select1", + "1st data set", + choices = names(mydata_use()) + ) + }) + + output$scatter_choices2 <- shiny::renderUI({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::selectInput("scatter_select2", + "2nd data set", + selected = names(mydata_use())[2], + choices = names(mydata_use()) + ) + }) + + # --- plot output --- + ranges <- shiny::reactiveValues(x = NULL, y = NULL) + + output$scatter <- shiny::renderPlot({ + shiny::validate( + shiny::need( + length(mydata()@DeeDeeList) >= 2, + "Please upload at least two contrasts." + ) + ) + shiny::validate( + shiny::need( + length(mydata_use()) >= 2, + "Please select at least two contrasts." + ) + ) + + sel1 <- match(input$scatter_select1, names(mydata_use())) + sel2 <- match(input$scatter_select2, names(mydata_use())) + shiny::req(sel1) + shiny::req(sel2) + res <- deedee_scatter(mydata_use(), + select1 = sel1, + select2 = sel2, + color_by = input$scatter_color_by, + pthresh = input$scatter_pthresh + ) + shiny::validate( + shiny::need(!is.null(res), "No common genes in input datasets.") + ) + res + + ggplot2::coord_cartesian( + xlim = ranges$x, + ylim = ranges$y, + expand = FALSE + ) + }) + + # --- brushing --- + # scatter_download_button <- shiny::renderUI( + # conditionalPanel("output.scatter_brushed()", + # downloadButton("scatter_brush_download", + # "Download brushed genes (.txt)"))) + + scatter_brushed <- shiny::reactive({ + shiny::req(input$scatter_brush) + df <- data.frame( + x = mydata_use()[[input$scatter_select1]], + y = mydata_use()[[input$scatter_select2]] + ) + + df <- subset(df, x.pval < 0.05 & y.pval < 0.05) + + names(df) <- c( + paste(input$scatter_select1, ".logFC", sep = ""), + paste(input$scatter_select1, ".pval", sep = ""), + paste(input$scatter_select2, ".logFC", sep = ""), + paste(input$scatter_select2, ".pval", sep = "") + ) + shiny::brushedPoints(df, + input$scatter_brush, + xvar = paste(input$scatter_select1, ".logFC", sep = ""), + yvar = paste(input$scatter_select2, ".logFC", sep = "") + ) + }) + + output$scatter_brush_info <- shiny::renderTable( + { + shiny::req(scatter_brushed()) + scatter_brushed() + }, + rownames = TRUE + ) + + output$scatter_brush_download <- shiny::downloadHandler( + filename = "scatter_brushed_genes.xlsx", + content = function(file) { + shiny::req(input$scatter_brush) + bru <- tibble::rownames_to_column(scatter_brushed()) + first <- data.frame(bru[1], bru[2], bru[3]) + nm1 <- unlist(strsplit(names(first)[2], + split = ".", + fixed = TRUE + ))[1] + names(first) <- c("rowname", "logFC", "pval") + second <- data.frame(bru[1], bru[4], bru[5]) + nm2 <- unlist(strsplit(names(second)[2], + split = ".", + fixed = TRUE + ))[1] + names(second) <- c("rowname", "logFC", "pval") + l <- list(first, second) + names(l) <- c(nm1, nm2) + writexl::write_xlsx(l, file, col_names = TRUE) + } + ) + + # --- enrich --- + enrich <- shiny::reactive({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::validate(shiny::need( + scatter_brushed(), + "No brushed genes." + )) + sel1 <- match(input$scatter_select1, names(mydata_use())) + sel2 <- match(input$scatter_select2, names(mydata_use())) + shiny::req(sel1) + shiny::req(sel2) + data <- list(mydata_use()[[sel1]], mydata_use()[[sel2]]) + res <- ora( + geneList = scatter_brushed(), + universe = data, + orgDB = input$organism, + key_type = input$key_type + ) + shiny::validate(shiny::need( + class(res) == "enrichResult", + "Not working." + )) + + return(res) + }) + + output$scatter_ora <- shiny::renderPlot({ + shiny::validate(shiny::need( + !is.null(enrich()), + "Something went wrong..." + )) + en <- enrich() + en_df <- as.data.frame(en) + shiny::validate(shiny::need( + nrow(en_df) > 0, + "No enriched terms found." + )) + options(ggrepel.max.overlaps = Inf) + plt <- enrichplot::emapplot(enrichplot::pairwise_termsim(en)) + shiny::validate(shiny::need( + !is.null(plt), + "No enriched terms found." + )) + print(plt) + }) + + output$ora_download <- shiny::downloadHandler( + filename = "enrichment_results.RDS", + content = function(file) { + shiny::req(!is.null(enrich())) + saveRDS(enrich(), file) + } + ) + + # ------------------------------- heatmap ---------------------------------- + output$heatmap_errors <- shiny::renderText({ + shiny::validate( + shiny::need( + length(mydata()@DeeDeeList) >= 2, + "Please upload at least two contrasts." + ) + ) + shiny::validate( + shiny::need( + length(mydata_use()) >= 2, + "Please select at least two contrasts." + ) + ) + shiny::validate( + shiny::need( + !is.null(heatmap_output()), + "No common genes in input datasets." + ) + ) + "" + }) + + heatmap_output <- shiny::reactive({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::req(input$heatmap_show_first) + shiny::req(mydata_use()) + res <- deedee_heatmap(mydata_use(), + show_first = input$heatmap_show_first, + show_gene_names = input$heatmap_show_gene_names, + dist = input$heatmap_dist, + clust = input$heatmap_clust, + pthresh = input$heatmap_pthresh, + show_na = input$heatmap_showNA + ) + shiny::validate( + shiny::need(!is.null(res), "No common genes in input datasets.") + ) + + res <- ComplexHeatmap::draw(res) + + return(res) + }) + + listen <- shiny::reactive({ + list( + input$heatmap_show_first, + input$heatmap_show_gene_names, + input$heatmap_dist, + input$heatmap_clust, + input$heatmap_pthresh, + input$heatmap_showNA, + mydata_use() + ) + }) + + global <- reactiveValues(notify = FALSE) + + shiny::observeEvent(listen(), { + global$notify <- TRUE + }) + + shiny::observeEvent(input$tabs, { + if (input$tabs == "Heatmap") { + if (global$notify == TRUE) { + shiny::showNotification("Something changed. Click 'Create heatmap' to reload.", + duration = NULL, + type = "warning", + id = "heatmap_warning" + ) + } + } else { + shiny::removeNotification("heatmap_warning") + } + }) + + shiny::observeEvent(listen(), { + req(input$tabs == "Heatmap") + shiny::showNotification("Something changed. Click 'Create heatmap' to reload.", + duration = NULL, + type = "warning", + id = "heatmap_warning" + ) + }) + + shiny::observeEvent(input$heatmap_action, { + shiny::req(length(mydata_use()) >= 2) + global$notify <- FALSE + InteractiveComplexHeatmap::makeInteractiveComplexHeatmap( + input, + output, + session, + heatmap_output() + ) + shiny::removeNotification("heatmap_warning") + }) + + + # -------------------------------- venn ------------------------------------ + output$venn <- shiny::renderPlot({ + shiny::validate( + shiny::need( + length(mydata()@DeeDeeList) >= 2, + "Please upload at least two contrasts." + ) + ) + shiny::validate( + shiny::need( + length(mydata_use()) >= 2, + "Please select at least two contrasts." + ) + ) + + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + res <- deedee_venn(mydata_use(), + mode = input$venn_mode, + pthresh = input$venn_pthresh + ) + + shiny::validate( + shiny::need( + !is.null(res), + "No genes in your datasets. Maybe your specified p-value threshold is too low?" + ) + ) + + res + }) + + + # -------------------------------- upset ----------------------------------- + output$upset <- shiny::renderPlot({ + shiny::validate( + shiny::need( + length(mydata()@DeeDeeList) >= 2, + "Please upload at least two contrasts." + ) + ) + shiny::validate( + shiny::need( + length(mydata_use()) >= 2, + "Please select at least two contrasts." + ) + ) + + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + if (input$upset_mode == "both" && input$upset_colored) { + mode <- "both_colored" + } else { + mode <- input$upset_mode + } + res <- deedee_upset(mydata_use(), + mode = mode, + pthresh = input$upset_pthresh, + min_setsize = input$upset_minset + ) + + shiny::validate( + shiny::need( + !is.null(res), + "No genes in your datasets. Maybe your specified p-value threshold is too low?" + ) + ) + res + }) + + + # --------------------------------- qq ------------------------------------- + output$qq_choices1 <- shiny::renderUI({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::selectInput("qq_select1", + "1st data set", + choices = names(mydata_use()) + ) + }) + + output$qq_choices2 <- shiny::renderUI({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::selectInput("qq_select2", + "2nd data set", + selected = names(mydata_use())[2], + choices = names(mydata_use()) + ) + }) + + output$qq_ref <- shiny::renderUI({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::selectInput("qq_reference", + "Reference", + choices = names(mydata_use()) + ) + }) + + output$qq <- shiny::renderPlot({ + shiny::validate( + shiny::need( + length(mydata()@DeeDeeList) >= 2, + "Please upload at least two contrasts." + ) + ) + shiny::validate( + shiny::need( + length(mydata_use()) >= 2, + "Please select at least two contrasts." + ) + ) + + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + sel1 <- match(input$qq_select1, names(mydata_use())) + sel2 <- match(input$qq_select2, names(mydata_use())) + shiny::req(sel1) + shiny::req(sel2) + res <- deedee_qq(mydata_use(), + select1 = sel1, + select2 = sel2, + color_by = input$qq_color_by, + pthresh = input$qq_pthresh, + as_line = input$qq_line + ) + + shiny::validate( + shiny::need( + !is.null(res), + "No genes in your datasets. Maybe your specified p-value threshold is too low?" + ) + ) + + res + }) + + output$qq_mult <- shiny::renderPlot({ + shiny::validate( + shiny::need( + length(mydata()@DeeDeeList) >= 2, + "Please upload at least two contrasts." + ) + ) + shiny::validate( + shiny::need( + length(mydata_use()) >= 2, + "Please select at least two contrasts." + ) + ) + + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + ref <- match(input$qq_reference, names(mydata_use())) + shiny::req(ref) + res <- deedee_qqmult(mydata_use(), + ref = ref, + pthresh = input$qq_pthresh + ) + + shiny::validate( + shiny::need( + !is.null(res), + "No genes in your datasets. Maybe your specified p-value threshold is too low?" + ) + ) + + res + }) + + qq_brushed <- shiny::reactive({ + shiny::req(input$qq_brush) + x <- mydata()@DeeDeeList[[input$qq_select1]]$logFC + y <- mydata()@DeeDeeList[[input$qq_select2]]$logFC + pval1 <- mydata()@DeeDeeList[[input$qq_select2]]$pval + pval2 <- mydata()@DeeDeeList[[input$qq_select2]]$pval + names(x) <- row.names(mydata()@DeeDeeList[[input$qq_select2]]) + names(y) <- row.names(mydata()@DeeDeeList[[input$qq_select2]]) + + sx_idx <- order(x) + sy_idx <- order(y) + + sx <- x[sx_idx] + sy <- y[sy_idx] + pval1 <- pval1[sx_idx] + pval2 <- pval2[sy_idx] + + lenx <- length(sx) + leny <- length(sy) + + if (leny < lenx) { + sx <- stats::approx(1L:lenx, sx, n = leny)$y + pval1 <- stats::approx(1L:lenx, pval1, n = leny)$y + } + if (leny > lenx) { + sy <- stats::approx(1L:leny, sy, n = lenx)$y + pval2 <- stats::approx(1L:leny, pval2, n = lenx)$y + } + + sx <- tibble::rownames_to_column(as.data.frame(sx)) + sx[3] <- pval1 + sy <- tibble::rownames_to_column(as.data.frame(sy)) + sy[3] <- pval2 + + qq <- data.frame( + x = sx, + y = sy + ) + + names(qq) <- c( + paste(input$qq_select1, "gene", sep = "."), + paste(input$qq_select1, "logFC", sep = "."), + paste(input$qq_select1, "pval", sep = "."), + paste(input$qq_select2, "gene", sep = "."), + paste(input$qq_select2, "logFC", sep = "."), + paste(input$qq_select2, "pval", sep = ".") + ) + + temp1 <- paste(input$qq_select1, "logFC", sep = ".") + temp2 <- paste(input$qq_select2, "logFC", sep = ".") + + shiny::brushedPoints(qq, + input$qq_brush, + xvar = temp1, + yvar = temp2 + ) + }) + + output$qq_brush_info <- shiny::renderTable( + { + shiny::req(qq_brushed()) + qq_brushed() + }, + rownames = FALSE + ) + + output$qq_brush_download <- shiny::downloadHandler( + filename = "qq_brushed_genes.xlsx", + content = function(file) { + shiny::req(input$qq_brush) + bru <- qq_brushed() + first <- data.frame(bru[1], bru[2], bru[3]) + nm1 <- unlist(strsplit(names(first)[2], + split = ".", + fixed = TRUE + ))[1] + names(first) <- c("rowname", "logFC", "pval") + second <- data.frame(bru[4], bru[5], bru[6]) + nm2 <- unlist(strsplit(names(second)[2], + split = ".", + fixed = TRUE + ))[1] + names(second) <- c("rowname", "logFC", "pval") + l <- list(first, second) + names(l) <- c(nm1, nm2) + writexl::write_xlsx(l, file, col_names = TRUE) + } + ) + + + # --------------------------------- cat ------------------------------------ + output$cat_choice <- shiny::renderUI({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::selectInput("cat_ref", + "Reference contrast", + selected = names(mydata_use())[1], + choices = names(mydata_use()) + ) + }) + + output$cat <- shiny::renderPlot({ + shiny::validate( + shiny::need( + length(mydata()@DeeDeeList) >= 2, + "Please upload at least two contrasts." + ) + ) + shiny::validate( + shiny::need( + length(mydata_use()) >= 2, + "Please select at least two contrasts." + ) + ) + + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::req(input$cat_maxrank) + shiny::req(input$cat_ref) + + ref <- match(input$cat_ref, names(mydata_use())) + res <- deedee_cat(mydata_use(), + ref = ref, + maxrank = input$cat_maxrank, + mode = input$cat_mode, + pthresh = input$cat_pthresh + ) + + shiny::validate( + shiny::need( + !is.null(res), + "No genes in your datasets. Maybe your specified p-value threshold is too low?" + ) + ) + + res + }) + + # ------------------------------- summary ---------------------------------- + output$sum_scatter_choices1 <- shiny::renderUI({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::selectInput("sum_scatter_select1", + "1st data set", + choices = names(mydata_use()) + ) + }) + + output$sum_scatter_choices2 <- shiny::renderUI({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::selectInput("sum_scatter_select2", + "2nd data set", + selected = names(mydata_use())[2], + choices = names(mydata_use()) + ) + }) + + output$sum_qq_ref <- shiny::renderUI({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::selectInput("sum_qqmult_ref", + "Reference", + selected = names(mydata_use())[1], + choices = names(mydata_use()) + ) + }) + + output$sum_cat_choice <- shiny::renderUI({ + shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::selectInput("sum_cat_ref", + "Reference contrast", + selected = names(mydata_use())[1], + choices = names(mydata_use()) + ) + }) + + summary <- reactive({ + shiny::validate( + shiny::need( + length(mydata()@DeeDeeList) >= 2, + "Please upload at least two contrasts." + ) + ) + shiny::validate( + shiny::need( + length(mydata_use()) >= 2, + "Please select at least two contrasts." + ) + ) + + shiny::req(mydata_use()) + + outfile <- tempfile(fileext = ".html") + + sc_sel1 <- match(input$sum_scatter_select1, names(mydata_use())) + if (is.null(sc_sel1)) { + sc_sel1 <- 1 + } + sc_sel2 <- match(input$sum_scatter_select2, names(mydata_use())) + if (is.null(sc_sel2)) { + sc_sel2 <- 2 + } + + qq_ref <- match(input$sum_qqmult_ref, names(mydata_use())) + if (length(qq_ref) == 0) { + qq_ref <- 1 + } + + cat_ref <- match(input$sum_cat_ref, names(mydata_use())) + if (length(cat_ref) == 0) { + cat_ref <- 1 + } + + if (input$sum_upset_mode == "both" && input$sum_upset_colored) { + ups_mode <- "both_colored" + } else { + ups_mode <- input$sum_upset_mode + } + + shiny::req(sc_sel1) + shiny::req(sc_sel2) + shiny::req(qq_ref) + shiny::req(cat_ref) + + deedee_summary(mydata_use(), + output_path = outfile, + overwrite = TRUE, + pthresh = input$sum_pthresh, + scatter_select1 = sc_sel1, + scatter_select2 = sc_sel2, + scatter_color_by = input$sum_scatter_color_by, + heatmap_show_first = input$sum_heatmap_show_first, + heatmap_show_gene_names = input$sum_heatmap_show_gene_names, + heatmap_dist = input$sum_heatmap_dist, + heatmap_clust = input$sum_heatmap_clust, + heatmap_show_na = input$sum_heatmap_show_na, + venn_mode = input$sum_venn_mode, + upset_mode = ups_mode, + upset_min_setsize = input$sum_upset_min_setsize, + qqmult_ref = qq_ref, + cat_ref = cat_ref, + cat_maxrank = input$sum_cat_maxrank, + cat_mode = input$sum_cat_mode, + silent = TRUE, + open_file = FALSE + ) + + return(outfile) + }) + + output$sum_download <- shiny::downloadHandler( + filename = "DeeDee_Summary.html", + content = function(file) { + shiny::req(summary()) + + file.copy(summary(), file) + } + ) + + output$show_html_summary <- shiny::renderUI({ + shiny::req(summary()) + + out <- tempfile(fileext = ".html") + + xml2::write_html(rvest::html_node(xml2::read_html(summary()), "body"), + file = out + ) + + shiny::includeHTML(path = out) + }) + } + + + # ------------------------------ run application ------------------------------- + shiny::shinyOptions(deedee_obj = deedee_obj) + shiny::shinyApp(ui = deedee_ui, server = deedee_server) +} From e67941bdbc2e68ebafb8051b0a1e87441755436d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 8 Nov 2022 14:41:37 +0100 Subject: [PATCH 034/182] cleanup namespace --- NAMESPACE | 11 ----------- 1 file changed, 11 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index bde5d51..f80e8e6 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,7 +1,6 @@ # Generated by roxygen2: do not edit by hand export(DeeDeeExperiment) -export(DeeDeeObject) export(add_dea) export(ddedde_bars) export(ddedde_cat) @@ -15,20 +14,10 @@ export(ddedde_venn) export(de_list_checker) export(dea) export(deedee_app) -export(deedee_cat) -export(deedee_heatmap) -export(deedee_prepare) -export(deedee_qq) -export(deedee_qqmult) -export(deedee_scatter) -export(deedee_summary) -export(deedee_upset) -export(deedee_venn) export(get_dea) export(get_deas_list) export(remove_dea) exportClasses(DeeDeeExperiment) -exportClasses(DeeDeeObject) exportMethods(dea) exportMethods(show) import(methods) From 1691706c3baf9a79a9c4407ff932ac8b97448093 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 10:07:18 +0100 Subject: [PATCH 035/182] setup unit test suite --- tests/testthat.R | 12 ++++++++++++ 1 file changed, 12 insertions(+) create mode 100644 tests/testthat.R diff --git a/tests/testthat.R b/tests/testthat.R new file mode 100644 index 0000000..ebf4ec2 --- /dev/null +++ b/tests/testthat.R @@ -0,0 +1,12 @@ +# This file is part of the standard setup for testthat. +# It is recommended that you do not modify it. +# +# Where should you do additional test configuration? +# Learn more about the roles of various files in: +# * https://r-pkgs.org/tests.html +# * https://testthat.r-lib.org/reference/test_package.html#special-files + +library(testthat) +library(DeeDee) + +test_check("DeeDee") From e2f46eafa99f7dc9ea4eff7a05314c50a62d8621 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 10:09:57 +0100 Subject: [PATCH 036/182] placeholder for testing files --- tests/testthat/setuptests_DeeDee.R | 0 tests/testthat/test-DeeDeeExperiment.R | 0 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 tests/testthat/setuptests_DeeDee.R create mode 100644 tests/testthat/test-DeeDeeExperiment.R diff --git a/tests/testthat/setuptests_DeeDee.R b/tests/testthat/setuptests_DeeDee.R new file mode 100644 index 0000000..e69de29 diff --git a/tests/testthat/test-DeeDeeExperiment.R b/tests/testthat/test-DeeDeeExperiment.R new file mode 100644 index 0000000..e69de29 From b297f8a499aa7a071c0b7cd1ada90b28d73d72ed Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 10:10:25 +0100 Subject: [PATCH 037/182] implementation and example for add_dea --- R/DeeDeeExperiment.R | 61 +++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 60 insertions(+), 1 deletion(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 171d2e3..109fc01 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -165,20 +165,79 @@ deedee_import <- function(x) { #' @export #' #' @examples -#' # todo +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' del +#' ) +#' dde +#' +#' new_del <- list( +#' ifng2 = del$ifng_vs_naive, +#' ifngsalmo2 = del$ifngsalmo_vs_naive +#' ) +#' # add a new (set of) DE result(s) +#' dde_new <- add_dea(dde, new_del) add_dea <- function(dde, dea) { # dde must be a DeeDeeExp # dea must be named list # check that names are all unique, and do not overlap with the existing ones + names(dea) + names(dea(dde)) + + dea_contrasts <- dea(dde) + dde_ids <- rownames(dde) # update rowData, naming them correctly + for (i in names(dea)){ + this_de <- dea[[i]] + + # do different things according to what these objects are + if(is(this_de, "DESeqResults")) { + matched_ids <- match(rownames(dde), dde_ids) + + # if not tested, add NA - everywhere? -> pre-fill? + rowData(dde)[[paste0(i,"_log2FoldChange")]] <- NA + rowData(dde)[[paste0(i,"_pvalue")]] <- NA + rowData(dde)[[paste0(i,"_padj")]] <- NA + rowData(dde)[[paste0(i,"_log2FoldChange")]][matched_ids] <- this_de$log2FoldChange + rowData(dde)[[paste0(i,"_pvalue")]][matched_ids] <- this_de$pvalue + rowData(dde)[[paste0(i,"_padj")]][matched_ids] <- this_de$padj + + dea_contrasts[[i]] <- list( + alpha = metadata(this_de)$alpha, + lfcThreshold = metadata(this_de)$lfcThreshold, + metainfo_logFC = mcols(this_de)$description[colnames(this_de) == "log2FoldChange"], + metainfo_pvalue = mcols(this_de)$description[colnames(this_de) == "pvalue"], + original_object = this_de, + package = "DESeq2" + ) + } + } # update the deslot + ## TODO should be a replacement operator? + dea(dde) <- dea_contrasts + + # here check some validity? + # TODO # return the object + return(dde) } +# TODO: might need one where I also simply add ONE single DE object, and that gets autoconverted to a named list (of length 1) + #' Title #' From 5190b5c4fdb72c299e2c75c591342d84763e6abb Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 10:10:48 +0100 Subject: [PATCH 038/182] renaming manpages to have them converge on one single Rd file --- ...Experiment-dea.Rd => DeeDeeExperiment-methods.Rd} | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) rename man/{DeeDeeExperiment-dea.Rd => DeeDeeExperiment-methods.Rd} (54%) diff --git a/man/DeeDeeExperiment-dea.Rd b/man/DeeDeeExperiment-methods.Rd similarity index 54% rename from man/DeeDeeExperiment-dea.Rd rename to man/DeeDeeExperiment-methods.Rd index 81b34bb..6325789 100644 --- a/man/DeeDeeExperiment-dea.Rd +++ b/man/DeeDeeExperiment-methods.Rd @@ -1,15 +1,21 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/DeeDeeExperiment-methods.R -\name{DeeDeeExperiment-dea} -\alias{DeeDeeExperiment-dea} +\name{DeeDeeExperiment-methods} +\alias{DeeDeeExperiment-methods} \alias{dea} +\alias{dea<-} \alias{dea,DeeDeeExperiment-method} +\alias{dea<-,DeeDeeExperiment,list-method} \title{Methods for deedee exps} \usage{ \S4method{dea}{DeeDeeExperiment}(x) + +\S4method{dea}{DeeDeeExperiment,list}(x) <- value } \arguments{ -\item{x}{deex} +\item{x}{A \code{\link{DeeDeeExperiment}} object} + +\item{value}{Replacement value for replacement methods.} } \value{ Return value varies depending on method, as described below. From c9877868d07701a9147f2b2a7d5f0d28b3e592ed Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 10:14:34 +0100 Subject: [PATCH 039/182] exporting setter method for dea<- --- NAMESPACE | 2 ++ 1 file changed, 2 insertions(+) diff --git a/NAMESPACE b/NAMESPACE index f80e8e6..6ef02ba 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,5 +1,6 @@ # Generated by roxygen2: do not edit by hand +export("dea<-") export(DeeDeeExperiment) export(add_dea) export(ddedde_bars) @@ -18,6 +19,7 @@ export(get_dea) export(get_deas_list) export(remove_dea) exportClasses(DeeDeeExperiment) +exportMethods("dea<-") exportMethods(dea) exportMethods(show) import(methods) From a09b81eed08d23eda16393923a31c09d7f6f3b3f Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 10:15:16 +0100 Subject: [PATCH 040/182] definition of replace method (setter) for dea --- R/AllGenerics.R | 3 +++ R/DeeDeeExperiment-methods.R | 22 ++++++++++++++++++---- 2 files changed, 21 insertions(+), 4 deletions(-) diff --git a/R/AllGenerics.R b/R/AllGenerics.R index 589da13..684e37d 100644 --- a/R/AllGenerics.R +++ b/R/AllGenerics.R @@ -2,3 +2,6 @@ #' @export setGeneric("dea", function(x, ...) standardGeneric("dea")) + +#' @export +setGeneric("dea<-", function(x, value) standardGeneric("dea<-")) diff --git a/R/DeeDeeExperiment-methods.R b/R/DeeDeeExperiment-methods.R index 8ed237a..38757d3 100644 --- a/R/DeeDeeExperiment-methods.R +++ b/R/DeeDeeExperiment-methods.R @@ -1,20 +1,23 @@ -#' @name DeeDeeExperiment-dea +#' @name DeeDeeExperiment-methods #' -#' @title Methods for deedee exps +#' @title Methods for DeeDeeExperiment objects #' #' @aliases #' dea +#' dea<- +#' #' #' @description #' Todo #' -#' @param x deex +#' @param x A \code{\link{DeeDeeExperiment}} object +#' @param value Replacement value for replacement methods. #' #' @return Return value varies depending on method, as described below. NULL -#' @rdname DeeDeeExperiment-dea +#' @rdname DeeDeeExperiment-methods #' @export setMethod("dea", signature = "DeeDeeExperiment", @@ -22,6 +25,17 @@ setMethod("dea", x@dea }) +#' @rdname DeeDeeExperiment-methods +#' @export +setReplaceMethod("dea", + c("DeeDeeExperiment", "list"), + definition = function(x, value) { + x@dea <- value + validObject(x) + x + }) + + #' @name DeeDeeExperiment-misc #' From 26a9afb47fedf9a31430370f5a9762e7a62e37cf Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 11:01:25 +0100 Subject: [PATCH 041/182] removed need of using 3rd edition of testthat, suppresses messages after using expect_is --- DESCRIPTION | 1 - 1 file changed, 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index cf8f8ed..15c1f4e 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -63,7 +63,6 @@ Suggests: org.Rn.eg.db, org.Dm.eg.db, testthat (>= 3.0.0) -Config/testthat/edition: 3 VignetteBuilder: knitr biocViews: GUI, GeneExpression, Software, Transcription, Transcriptomics, Visualization, DifferentialExpression From 2459bb57581b6cb3737ad8b7d4a7614285ffa9bf Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 11:02:26 +0100 Subject: [PATCH 042/182] updating setup script --- tests/testthat/setuptests_DeeDee.R | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/tests/testthat/setuptests_DeeDee.R b/tests/testthat/setuptests_DeeDee.R index e69de29..66c8960 100644 --- a/tests/testthat/setuptests_DeeDee.R +++ b/tests/testthat/setuptests_DeeDee.R @@ -0,0 +1,16 @@ +suppressPackageStartupMessages( + library("SummarizedExperiment") +) + +data("de_named_list", package = "DeeDee") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) + +names(del) + From 82c1bc5330d8a5f088fa3706d97f2ea211aa66d6 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 11:03:08 +0100 Subject: [PATCH 043/182] adding some basic unit tests for creation --- tests/testthat/test-DeeDeeExperiment.R | 37 ++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/tests/testthat/test-DeeDeeExperiment.R b/tests/testthat/test-DeeDeeExperiment.R index e69de29..aa06ca0 100644 --- a/tests/testthat/test-DeeDeeExperiment.R +++ b/tests/testthat/test-DeeDeeExperiment.R @@ -0,0 +1,37 @@ +test_that("creating", { + dde <- DeeDeeExperiment( + se_macrophage_noassays, + de_results = del + ) + dde + + expect_is(dde, "DeeDeeExperiment") + new_del <- list( + ifng2 = del$ifng_vs_naive, + ifngsalmo2 = del$ifngsalmo_vs_naive + ) + # add a new (set of) DE result(s) + dde_new <- add_dea(dde, new_del) +}) + + +test_that("adding and removing", { + dde <- DeeDeeExperiment( + se_macrophage_noassays, + de_results = del + ) + + new_del <- list( + ifng2 = del$ifng_vs_naive, + ifngsalmo2 = del$ifngsalmo_vs_naive + ) + # add a new (set of) DE result(s) + dde_new <- add_dea(dde, new_del) + expect_is(dde_new, "DeeDeeExperiment") + expect_equal(length(dea(dde)), 4) + expect_equal(length(dea(dde_new)), 6) + + dde_removed <- remove_dea(dde, "ifngsalmo_vs_naive") + expect_is(dde_removed, "DeeDeeExperiment") + expect_equal(length(dea(dde_removed)), 3) +}) From 91909647bf001140555c7561b717417a50be9683 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 11:03:36 +0100 Subject: [PATCH 044/182] re-rendering manpages --- man/DeeDeeExperiment-methods.Rd | 2 +- man/DeeDeeExperiment.Rd | 5 +++-- man/add_dea.Rd | 23 ++++++++++++++++++++++- 3 files changed, 26 insertions(+), 4 deletions(-) diff --git a/man/DeeDeeExperiment-methods.Rd b/man/DeeDeeExperiment-methods.Rd index 6325789..1fb6687 100644 --- a/man/DeeDeeExperiment-methods.Rd +++ b/man/DeeDeeExperiment-methods.Rd @@ -6,7 +6,7 @@ \alias{dea<-} \alias{dea,DeeDeeExperiment-method} \alias{dea<-,DeeDeeExperiment,list-method} -\title{Methods for deedee exps} +\title{Methods for DeeDeeExperiment objects} \usage{ \S4method{dea}{DeeDeeExperiment}(x) diff --git a/man/DeeDeeExperiment.Rd b/man/DeeDeeExperiment.Rd index b66cc3a..443ea8c 100644 --- a/man/DeeDeeExperiment.Rd +++ b/man/DeeDeeExperiment.Rd @@ -6,10 +6,11 @@ \alias{DeeDeeExperiment} \title{DeeDeeExperiment} \usage{ -DeeDeeExperiment(se, de_results) +DeeDeeExperiment(..., de_results) } \arguments{ -\item{se}{ssss} +\item{...}{Arguments passed to the \code{\link{SummarizedExperiment}} +constructor to fill the slots of the base class.} \item{de_results}{ssss} } diff --git a/man/add_dea.Rd b/man/add_dea.Rd index 603ff72..52c1617 100644 --- a/man/add_dea.Rd +++ b/man/add_dea.Rd @@ -22,5 +22,26 @@ dea: the named list, as for the main constructor Title } \examples{ -# todo +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + del +) +dde + +new_del <- list( + ifng2 = del$ifng_vs_naive, + ifngsalmo2 = del$ifngsalmo_vs_naive +) +# add a new (set of) DE result(s) +dde_new <- add_dea(dde, new_del) } From d977fadf3fea87099bdd7b0129f8612f03b043cd Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 11:16:29 +0100 Subject: [PATCH 045/182] commenting out code in the example for the app --- R/DeeDee-app.R | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index f31e28d..c6a6c8a 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -12,24 +12,24 @@ #' @examples #' #' data(DE_results_IFNg_naive, package = "DeeDee") -#' IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") +#' # IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") #' #' data(DE_results_IFNg_both, package = "DeeDee") -#' IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") +#' # IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") #' #' data(DE_results_Salm_naive, package = "DeeDee") -#' Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") +#' # Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") #' #' data(DE_results_Salm_both, package = "DeeDee") -#' Salm_both <- deedee_prepare(Salm_both, "DESeq2") +#' # Salm_both <- deedee_prepare(Salm_both, "DESeq2") #' -#' dd_list <- list( -#' IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' Salm_naive = Salm_naive, Salm_both = Salm_both -#' ) +#' # dd_list <- list( +#' # IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, +#' # Salm_naive = Salm_naive, Salm_both = Salm_both +#' # ) #' #' if (interactive()) { -#' deedee_app(dd_list) +#' # deedee_app(dd_list) #' } deedee_app <- function(deedee_obj = NULL) { From 55b57e6c73d18e8921d68635fae9d374efc2cb47 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 11:16:43 +0100 Subject: [PATCH 046/182] specifying parameters in example --- R/DeeDee_bars.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/DeeDee_bars.R b/R/DeeDee_bars.R index 7c12106..5e20bb2 100644 --- a/R/DeeDee_bars.R +++ b/R/DeeDee_bars.R @@ -18,7 +18,7 @@ #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' del +#' de_results = del #' ) #' dde ddedde_bars <- function(dde) { From 69277973c51ffc5129cebca59141549e9ab0e9eb Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 11:17:12 +0100 Subject: [PATCH 047/182] adding condition to check for validity - at least there has to be a DE result entered --- R/validity.R | 36 +++++++++++++++++++----------------- 1 file changed, 19 insertions(+), 17 deletions(-) diff --git a/R/validity.R b/R/validity.R index 38b4035..65f32a5 100644 --- a/R/validity.R +++ b/R/validity.R @@ -5,24 +5,26 @@ validDeeDeeExperiment <- function(object) { msg <- c(msg, "'dea' must be a list") } - if (any(is.null(names(object@dea)))) { - msg <- c(msg, "'dea' must be a named list") - } - - dea_names <- names(object@dea) - - required_rowdata <- unlist( - lapply( - dea_names, function(arg) - c( - paste0(arg, "_log2FoldChange"), - paste0(arg, "_pvalue"), - paste0(arg, "_padj") - ) + if (length(dea(object)) > 0) { + if (any(is.null(names(object@dea)))) { + msg <- c(msg, "'dea' must be a named list") + } + + dea_names <- names(object@dea) + + required_rowdata <- unlist( + lapply( + dea_names, function(arg) + c( + paste0(arg, "_log2FoldChange"), + paste0(arg, "_pvalue"), + paste0(arg, "_padj") + ) + ) ) - ) - if (!all(required_rowdata %in% colnames(rowData(object)))) { - msg <- c(msg, "some required columns were not found in the rowData") + if (!all(required_rowdata %in% colnames(rowData(object)))) { + msg <- c(msg, "some required columns were not found in the rowData") + } } if (is.null(msg)) { From 02e6814d45da4b310859fe625cff6b6e051702b1 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 11:18:29 +0100 Subject: [PATCH 048/182] opting for passing the content of the SE as ellipsis - enables automatically the empty constructor --- R/DeeDeeExperiment.R | 26 +++++++++++++++++++++++--- 1 file changed, 23 insertions(+), 3 deletions(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 109fc01..81f8524 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -6,7 +6,8 @@ #' #' dde <- DeeDeeExperiment(se_macrophage, de_results = del) #' -#' @param se ssss +#' @param ... Arguments passed to the \code{\link{SummarizedExperiment}} +#'constructor to fill the slots of the base class. #' @param de_results ssss #' #' @return tODO @@ -14,7 +15,11 @@ #' #' @examples #' # todo -DeeDeeExperiment <- function(se, de_results) { +DeeDeeExperiment <- function(..., + de_results = NULL) { + + se <- SummarizedExperiment(...) + if (!is(se, "RangedSummarizedExperiment")) { if (is(se, "SummarizedExperiment")) { se <- as(se, "RangedSummarizedExperiment") @@ -23,6 +28,21 @@ DeeDeeExperiment <- function(se, de_results) { } } + # TODO: if no SE is really provided, instantiate some rownames, at least directly + # from the rownames of the result objects + + if (is.null(de_results)) { + object <- new("DeeDeeExperiment", + se, + dea = list() + ) + + # stash the package version + metadata(object)[["version"]] <- packageVersion("DeeDee") + + return(object) + } + # TODO: does not have to relate to an SE which has all the slots and all # ... @@ -177,7 +197,7 @@ deedee_import <- function(x) { #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' del +#' de_results = del #' ) #' dde #' From 4802711e7084e97736e2127806335d94847fd625 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 11:18:42 +0100 Subject: [PATCH 049/182] redo docs --- man/DeeDeeExperiment.Rd | 2 +- man/add_dea.Rd | 2 +- man/ddedde_bars.Rd | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/man/DeeDeeExperiment.Rd b/man/DeeDeeExperiment.Rd index 443ea8c..a23d395 100644 --- a/man/DeeDeeExperiment.Rd +++ b/man/DeeDeeExperiment.Rd @@ -6,7 +6,7 @@ \alias{DeeDeeExperiment} \title{DeeDeeExperiment} \usage{ -DeeDeeExperiment(..., de_results) +DeeDeeExperiment(..., de_results = NULL) } \arguments{ \item{...}{Arguments passed to the \code{\link{SummarizedExperiment}} diff --git a/man/add_dea.Rd b/man/add_dea.Rd index 52c1617..6664d3c 100644 --- a/man/add_dea.Rd +++ b/man/add_dea.Rd @@ -34,7 +34,7 @@ se_macrophage_noassays <- SummarizedExperiment( ) dde <- DeeDeeExperiment( se_macrophage_noassays, - del + de_results = del ) dde diff --git a/man/ddedde_bars.Rd b/man/ddedde_bars.Rd index a1820c8..116c4fa 100644 --- a/man/ddedde_bars.Rd +++ b/man/ddedde_bars.Rd @@ -28,7 +28,7 @@ se_macrophage_noassays <- SummarizedExperiment( ) dde <- DeeDeeExperiment( se_macrophage_noassays, - del + de_results = del ) dde } From e02e34081da4e3b4eb7a3afd33792d242379d2c4 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 11:37:21 +0100 Subject: [PATCH 050/182] explicit specification of parameter name when creating the object, to have "correct creation" --- R/DeeDee_cat.R | 2 +- R/DeeDee_heatmap.R | 2 +- R/DeeDee_qq.R | 2 +- R/DeeDee_qqmult.R | 2 +- R/DeeDee_scatter.R | 2 +- R/DeeDee_summary.R | 2 +- R/DeeDee_upset.R | 2 +- R/DeeDee_venn.R | 2 +- man/ddedde_cat.Rd | 2 +- man/ddedde_heatmap.Rd | 2 +- man/ddedde_qq.Rd | 2 +- man/ddedde_qqmult.Rd | 2 +- man/ddedde_scatter.Rd | 2 +- man/ddedde_summary.Rd | 2 +- man/ddedde_upset.Rd | 2 +- man/ddedde_venn.Rd | 2 +- 16 files changed, 16 insertions(+), 16 deletions(-) diff --git a/R/DeeDee_cat.R b/R/DeeDee_cat.R index 825b2ed..469738b 100644 --- a/R/DeeDee_cat.R +++ b/R/DeeDee_cat.R @@ -25,7 +25,7 @@ #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' del +#' de_results = del #' ) #' dde ddedde_cat <- function(dde, diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R index 5a2d7f7..2ad7874 100644 --- a/R/DeeDee_heatmap.R +++ b/R/DeeDee_heatmap.R @@ -32,7 +32,7 @@ #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' del +#' de_results = del #' ) #' dde ddedde_heatmap <- function(dde, diff --git a/R/DeeDee_qq.R b/R/DeeDee_qq.R index 60803d2..bb635d8 100644 --- a/R/DeeDee_qq.R +++ b/R/DeeDee_qq.R @@ -26,7 +26,7 @@ #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' del +#' de_results = del #' ) #' dde ddedde_qq <- function(dde, diff --git a/R/DeeDee_qqmult.R b/R/DeeDee_qqmult.R index 027d22f..69167b0 100644 --- a/R/DeeDee_qqmult.R +++ b/R/DeeDee_qqmult.R @@ -25,7 +25,7 @@ #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' del +#' de_results = del #' ) #' dde ddedde_qqmult <- function(dde, diff --git a/R/DeeDee_scatter.R b/R/DeeDee_scatter.R index 9aa6d1e..a28ff40 100644 --- a/R/DeeDee_scatter.R +++ b/R/DeeDee_scatter.R @@ -22,7 +22,7 @@ #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' del +#' de_results = del #' ) #' dde #' ddedde_scatter(dde, 1, 3, color_by = "pval2") diff --git a/R/DeeDee_summary.R b/R/DeeDee_summary.R index 70d3340..3bf0011 100644 --- a/R/DeeDee_summary.R +++ b/R/DeeDee_summary.R @@ -41,7 +41,7 @@ #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' del +#' de_results = del #' ) #' dde ddedde_summary <- function(dde, diff --git a/R/DeeDee_upset.R b/R/DeeDee_upset.R index 2ff8c19..bfecebb 100644 --- a/R/DeeDee_upset.R +++ b/R/DeeDee_upset.R @@ -25,7 +25,7 @@ #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' del +#' de_results = del #' ) #' dde ddedde_upset <- function(dde, diff --git a/R/DeeDee_venn.R b/R/DeeDee_venn.R index d01de28..6cba481 100644 --- a/R/DeeDee_venn.R +++ b/R/DeeDee_venn.R @@ -24,7 +24,7 @@ #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' del +#' de_results = del #' ) #' dde ddedde_venn <- function(dde, diff --git a/man/ddedde_cat.Rd b/man/ddedde_cat.Rd index cfc52cd..a7beb7d 100644 --- a/man/ddedde_cat.Rd +++ b/man/ddedde_cat.Rd @@ -38,7 +38,7 @@ se_macrophage_noassays <- SummarizedExperiment( ) dde <- DeeDeeExperiment( se_macrophage_noassays, - del + de_results = del ) dde } diff --git a/man/ddedde_heatmap.Rd b/man/ddedde_heatmap.Rd index 14268d5..22c0d74 100644 --- a/man/ddedde_heatmap.Rd +++ b/man/ddedde_heatmap.Rd @@ -58,7 +58,7 @@ se_macrophage_noassays <- SummarizedExperiment( ) dde <- DeeDeeExperiment( se_macrophage_noassays, - del + de_results = del ) dde } diff --git a/man/ddedde_qq.Rd b/man/ddedde_qq.Rd index b28aee0..8d0a3c3 100644 --- a/man/ddedde_qq.Rd +++ b/man/ddedde_qq.Rd @@ -47,7 +47,7 @@ se_macrophage_noassays <- SummarizedExperiment( ) dde <- DeeDeeExperiment( se_macrophage_noassays, - del + de_results = del ) dde } diff --git a/man/ddedde_qqmult.Rd b/man/ddedde_qqmult.Rd index ade587b..2208577 100644 --- a/man/ddedde_qqmult.Rd +++ b/man/ddedde_qqmult.Rd @@ -40,7 +40,7 @@ se_macrophage_noassays <- SummarizedExperiment( ) dde <- DeeDeeExperiment( se_macrophage_noassays, - del + de_results = del ) dde } diff --git a/man/ddedde_scatter.Rd b/man/ddedde_scatter.Rd index 47825f0..faab1bd 100644 --- a/man/ddedde_scatter.Rd +++ b/man/ddedde_scatter.Rd @@ -42,7 +42,7 @@ se_macrophage_noassays <- SummarizedExperiment( ) dde <- DeeDeeExperiment( se_macrophage_noassays, - del + de_results = del ) dde ddedde_scatter(dde, 1, 3, color_by = "pval2") diff --git a/man/ddedde_summary.Rd b/man/ddedde_summary.Rd index 0c360a5..53a1575 100644 --- a/man/ddedde_summary.Rd +++ b/man/ddedde_summary.Rd @@ -95,7 +95,7 @@ se_macrophage_noassays <- SummarizedExperiment( ) dde <- DeeDeeExperiment( se_macrophage_noassays, - del + de_results = del ) dde } diff --git a/man/ddedde_upset.Rd b/man/ddedde_upset.Rd index d2700ad..ac7aeaf 100644 --- a/man/ddedde_upset.Rd +++ b/man/ddedde_upset.Rd @@ -36,7 +36,7 @@ se_macrophage_noassays <- SummarizedExperiment( ) dde <- DeeDeeExperiment( se_macrophage_noassays, - del + de_results = del ) dde } diff --git a/man/ddedde_venn.Rd b/man/ddedde_venn.Rd index e17e944..2477c17 100644 --- a/man/ddedde_venn.Rd +++ b/man/ddedde_venn.Rd @@ -34,7 +34,7 @@ se_macrophage_noassays <- SummarizedExperiment( ) dde <- DeeDeeExperiment( se_macrophage_noassays, - del + de_results = del ) dde } From f8954e4bd7e22eabb2395be5249161c0b2aec5f6 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 11:37:36 +0100 Subject: [PATCH 051/182] implementation for remove_dea --- R/DeeDeeExperiment.R | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 81f8524..df327a3 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -270,7 +270,27 @@ add_dea <- function(dde, dea) { #' @examples #' # todo remove_dea <- function(dde, dea_name) { + # dde must be a DeeDeeExp + + # dea must be char vector + deas <- names(dea(dde)) + + deas_to_remove <- intersect(dea_name, deas) + # warning() if nothing to remove + for (i in deas_to_remove) { + cols_to_remove <- c(paste0(i, c("_log2FoldChange", "_pvalue", "_padj"))) + rowData(dde) <- rowData(dde)[, !(colnames(rowData(dde)) %in% cols_to_remove)] + } + + # update the deslot + dea(dde)[[deas_to_remove]] <- NULL + + # here check some validity? + validObject(dde) + + # return the object + return(dde) } From e9b695de8809d37c266c95bebab3b928b5b39c6d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 12:05:28 +0100 Subject: [PATCH 052/182] removing some calls to class(), using rather is() --- R/DeeDee-app_helpers.R | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/R/DeeDee-app_helpers.R b/R/DeeDee-app_helpers.R index e665bdf..987dda5 100644 --- a/R/DeeDee-app_helpers.R +++ b/R/DeeDee-app_helpers.R @@ -2,24 +2,24 @@ rds_input <- function(obj, nm) { - if (class(obj) == "DeeDeeObject") { + if (is(obj, "DeeDeeObject")) { obj <- obj@DeeDeeList } - if (class(obj) == "DESeqResults") { + if (is(obj, "DESeqResults")) { obj <- deedee_prepare(obj, "DESeq2") obj <- list(obj) names(obj) <- unlist(strsplit(nm, split = ".", fixed = TRUE ))[1] - } else if (class(obj) == "DGEExact") { + } else if (is(obj, "DGEExact")) { obj <- deedee_prepare(obj, "edgeR") obj <- list(obj) names(obj) <- unlist(strsplit(nm, split = ".", fixed = TRUE ))[1] - } else if (class(obj) == "list") { + } else if (is(obj, "list")) { for (j in length(obj)) { if (checkmate::test_subset( names(obj[[j]]), @@ -28,7 +28,7 @@ rds_input <- function(obj, return(NULL) } } - } else if (class(obj) == "data.frame") { + } else if (is(obj, "data.frame")) { if (length(obj) == 2) { if (checkmate::test_subset( names(obj), @@ -191,10 +191,10 @@ input_infobox <- function(deedee_obj, ))[1] } - if (class(res[[i]]) == "DESeqResults" || - class(res[[i]]) == "DGEExact" || + if (is(res[[i]], "DESeqResults") || + is(res[[i]], "DGEExact") || length(names(res[[i]])) == 6 || - class(res[[i]]) == "DeeDeeObject") { + is(res[[i]]), "DeeDeeObject") { count <- count + 1 type[count] <- class(res[[i]]) filename[count] <- sets[i, "name"] @@ -205,7 +205,7 @@ input_infobox <- function(deedee_obj, genes[count] <- length(md@DeeDeeList [[contrast[count]]][["logFC"]]) } else { - if (class(res[[i]]) == "data.frame") { + if (is.data.frame(res[[i]])) { res[[i]] <- list(res[[i]]) names(res[[i]]) <- unlist(strsplit(sets[i, "name"], split = ".", From 40cfbaac353b8246725085b8fa8ee597bee9a0c4 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 12:06:45 +0100 Subject: [PATCH 053/182] fixing typos --- R/DeeDee-app_helpers.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/DeeDee-app_helpers.R b/R/DeeDee-app_helpers.R index 987dda5..a46427d 100644 --- a/R/DeeDee-app_helpers.R +++ b/R/DeeDee-app_helpers.R @@ -194,7 +194,7 @@ input_infobox <- function(deedee_obj, if (is(res[[i]], "DESeqResults") || is(res[[i]], "DGEExact") || length(names(res[[i]])) == 6 || - is(res[[i]]), "DeeDeeObject") { + is(res[[i]], "DeeDeeObject")) { count <- count + 1 type[count] <- class(res[[i]]) filename[count] <- sets[i, "name"] From 746cd0553fe4320d34008a438983b89f188a77ca Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 12:07:02 +0100 Subject: [PATCH 054/182] fixing some imports --- NAMESPACE | 1 + R/DeeDee-pkg.R | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/NAMESPACE b/NAMESPACE index 6ef02ba..5b86b56 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -35,6 +35,7 @@ importFrom(InteractiveComplexHeatmap,makeInteractiveComplexHeatmap) importFrom(S4Vectors,"metadata<-") importFrom(S4Vectors,metadata) importFrom(SummarizedExperiment,"rowData<-") +importFrom(SummarizedExperiment,SummarizedExperiment) importFrom(SummarizedExperiment,mcols) importFrom(SummarizedExperiment,rowData) importFrom(checkmate,assertChoice) diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index 66e09bf..d1e32ea 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -35,7 +35,7 @@ #' @importFrom stats approx complete.cases #' @importClassesFrom SummarizedExperiment RangedSummarizedExperiment #' @importFrom SummarizedExperiment rowData rowData<- mcols -#' rowData rowData<- +#' rowData rowData<- SummarizedExperiment #' @importFrom tibble column_to_rownames rownames_to_column #' @importFrom tools file_ext #' @importFrom utils read.table data packageVersion From 425cfe8abe9159590e87fa9cbcf1bdd347261cd7 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 12:07:18 +0100 Subject: [PATCH 055/182] re-rendering examples --- R/DeeDeeExperiment.R | 18 +++++++++++++++++- man/remove_dea.Rd | 18 +++++++++++++++++- 2 files changed, 34 insertions(+), 2 deletions(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index df327a3..2c3ea7f 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -268,7 +268,23 @@ add_dea <- function(dde, dea) { #' @export #' #' @examples -#' # todo +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' de_results = del +#' ) +#' dde +#' +#' dde_new <- remove_dea(dde, "ifng_vs_naive") remove_dea <- function(dde, dea_name) { # dde must be a DeeDeeExp diff --git a/man/remove_dea.Rd b/man/remove_dea.Rd index f5083c2..79f6c14 100644 --- a/man/remove_dea.Rd +++ b/man/remove_dea.Rd @@ -18,5 +18,21 @@ todo Title } \examples{ -# todo +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + de_results = del +) +dde + +dde_new <- remove_dea(dde, "ifng_vs_naive") } From e2a5199c5c65e506cf8f89225641b43c93c658fb Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 12:15:44 +0100 Subject: [PATCH 056/182] class check with is --- R/DeeDee-app.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index c6a6c8a..19da4f1 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -577,7 +577,7 @@ deedee_app <- function(deedee_obj = NULL) { res <- list() if (!is.null(deedee_obj)) { - if (class(deedee_obj) == "DeeDeeObject") { + if (is(deedee_obj, "DeeDeeObject")) { ext[1] <- "arg" # df <- data.frame(filename, type, contrast, genes) res[[1]] <- deedee_obj@DeeDeeList From 024d385f292f1fa9421d32c7b93c5c65c8c22648 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 12:50:00 +0100 Subject: [PATCH 057/182] temp rename of the app function --- R/DeeDee-app.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 19da4f1..91d8597 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -31,7 +31,7 @@ #' if (interactive()) { #' # deedee_app(dd_list) #' } -deedee_app <- function(deedee_obj = NULL) { +ddedde_app <- function(deedee_obj = NULL) { # ---------------------------------------------------------------------------- # --------------------------------- U I -------------------------------------- From 72c5080d6c07ccd58332c133ba68308525cc4da9 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 12:50:16 +0100 Subject: [PATCH 058/182] adding manpage for the app --- man/ddedde_app.Rd | 42 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 42 insertions(+) create mode 100644 man/ddedde_app.Rd diff --git a/man/ddedde_app.Rd b/man/ddedde_app.Rd new file mode 100644 index 0000000..799877f --- /dev/null +++ b/man/ddedde_app.Rd @@ -0,0 +1,42 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee-app.R +\name{ddedde_app} +\alias{ddedde_app} +\title{DeeDee App} +\usage{ +ddedde_app(deedee_obj = NULL) +} +\arguments{ +\item{deedee_obj}{An object of the class DeeDeeObject to be analyzed.} +} +\value{ +A shiny app +} +\description{ +\code{deedee_app} opens the DeeDee Shiny web application, combining +the functionalities of all other DeeDee functions with a user-friendly +graphical user interface. +} +\examples{ + +data(DE_results_IFNg_naive, package = "DeeDee") +# IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") + +data(DE_results_IFNg_both, package = "DeeDee") +# IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") + +data(DE_results_Salm_naive, package = "DeeDee") +# Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") + +data(DE_results_Salm_both, package = "DeeDee") +# Salm_both <- deedee_prepare(Salm_both, "DESeq2") + +# dd_list <- list( +# IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, +# Salm_naive = Salm_naive, Salm_both = Salm_both +# ) + +if (interactive()) { + # deedee_app(dd_list) +} +} From 70b3170489ddc8ffa7d3a918df1950f5c325fbc4 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 15:14:50 +0100 Subject: [PATCH 059/182] expanding the pool of generic & methods --- R/AllGenerics.R | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/R/AllGenerics.R b/R/AllGenerics.R index 684e37d..d80b633 100644 --- a/R/AllGenerics.R +++ b/R/AllGenerics.R @@ -5,3 +5,16 @@ setGeneric("dea", function(x, ...) standardGeneric("dea")) #' @export setGeneric("dea<-", function(x, value) standardGeneric("dea<-")) + +#' @export +setGeneric("add_dea", function(x, dea, ...) standardGeneric("add_dea")) + +#' @export +setGeneric("remove_dea", function(x, dea_name, ...) standardGeneric("remove_dea")) + +#' @export +setGeneric("get_dea_df", function(x, dea_name, ...) standardGeneric("get_dea_df")) + +#' @export +setGeneric("get_dea_list", function(x, ...) standardGeneric("get_dea_list")) + From 1cbfe8ce8ee07925132a6180b0dfc1d187788ee1 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 15:15:39 +0100 Subject: [PATCH 060/182] add, remove, get & more --- R/DeeDeeExperiment-methods.R | 186 ++++++++++++++++++++++++++++++++++- 1 file changed, 183 insertions(+), 3 deletions(-) diff --git a/R/DeeDeeExperiment-methods.R b/R/DeeDeeExperiment-methods.R index 38757d3..4bae10c 100644 --- a/R/DeeDeeExperiment-methods.R +++ b/R/DeeDeeExperiment-methods.R @@ -5,18 +5,57 @@ #' @aliases #' dea #' dea<- -#' +#' add_dea +#' remove_dea +#' get_dea_df +#' get_dea_list #' #' @description #' Todo #' #' @param x A \code{\link{DeeDeeExperiment}} object #' @param value Replacement value for replacement methods. +#' @param dea todo +#' @param dea_name todo #' #' @return Return value varies depending on method, as described below. +#' +#' @examples +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' +#' # creating a `DeeDeeExperiment` +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' de_results = del +#' ) +#' dde +#' +#' new_del <- list( +#' ifng2 = del$ifng_vs_naive, +#' ifngsalmo2 = del$ifngsalmo_vs_naive +#' ) +#' +#' # add a new (set of) DE result(s) +#' dde_new <- add_dea(dde, new_del) +#' dde_new +#' +#' # removing DEAs +#' dde_removed <- remove_dea(dde, "ifng_vs_naive") +#' dde_removed NULL +# dea slot - get & set --------------------------------------------------------- + #' @rdname DeeDeeExperiment-methods #' @export setMethod("dea", @@ -25,6 +64,7 @@ setMethod("dea", x@dea }) + #' @rdname DeeDeeExperiment-methods #' @export setReplaceMethod("dea", @@ -36,6 +76,148 @@ setReplaceMethod("dea", }) +# dea info - add, remove, get -------------------------------------------------- + +#' @rdname DeeDeeExperiment-methods +#' @export +setMethod("add_dea", + signature = c("DeeDeeExperiment", "list"), + definition = function(x, dea) { + # dde must be a DeeDeeExp + # dea must be named list + + # check that names are all unique, and do not overlap with the existing ones + names(dea) + names(dea(x)) + + dea_contrasts <- dea(x) + dde_ids <- rownames(x) + + # update rowData, naming them correctly + for (i in names(dea)){ + this_de <- dea[[i]] + + # do different things according to what these objects are + if(is(this_de, "DESeqResults")) { + matched_ids <- match(rownames(x), dde_ids) + + # if not tested, add NA - everywhere? -> pre-fill? + rowData(x)[[paste0(i,"_log2FoldChange")]] <- NA + rowData(x)[[paste0(i,"_pvalue")]] <- NA + rowData(x)[[paste0(i,"_padj")]] <- NA + + rowData(x)[[paste0(i,"_log2FoldChange")]][matched_ids] <- this_de$log2FoldChange + rowData(x)[[paste0(i,"_pvalue")]][matched_ids] <- this_de$pvalue + rowData(x)[[paste0(i,"_padj")]][matched_ids] <- this_de$padj + + dea_contrasts[[i]] <- list( + alpha = metadata(this_de)$alpha, + lfcThreshold = metadata(this_de)$lfcThreshold, + metainfo_logFC = mcols(this_de)$description[colnames(this_de) == "log2FoldChange"], + metainfo_pvalue = mcols(this_de)$description[colnames(this_de) == "pvalue"], + original_object = this_de, + package = "DESeq2" + ) + } + } + # update the deslot + ## TODO should be a replacement operator? + dea(x) <- dea_contrasts + + # here check some validity? + # TODO + validObject(x) + + # return the object + return(x) + } +) + +# TODO: might need one where I also simply add ONE single DE object, and that gets autoconverted to a named list (of length 1) + + + +#' @rdname DeeDeeExperiment-methods +#' @export +setMethod("remove_dea", + signature = c("DeeDeeExperiment", "character"), + definition = function(x, dea_name) { + # x must be a DeeDeeExp + + # dea must be char vector + deas <- names(dea(x)) + + deas_to_remove <- intersect(dea_name, deas) + # warning() if nothing to remove + + for (i in deas_to_remove) { + cols_to_remove <- c(paste0(i, c("_log2FoldChange", "_pvalue", "_padj"))) + rowData(x) <- rowData(x)[, !(colnames(rowData(x)) %in% cols_to_remove)] + } + + # update the deslot + dea(x)[[deas_to_remove]] <- NULL + + # here check some validity? + validObject(x) + + # return the object + return(x) + } +) + + + + +#' @rdname DeeDeeExperiment-methods +#' @export +setMethod("get_dea_df", + signature = c("DeeDeeExperiment", "character"), + definition = function(x, + dea_name) { + deas <- dea(x) + dea_names <- names(deas) + + if (!(dea_name %in% dea_names)) { + stop("dea not found") + } + + rd_info <- paste0(dea_name, + c("_log2FoldChange", "_pvalue", "_padj")) + + if (! all(rd_info %in% colnames(rowData(x)))) { + stop("Columns not found") + } + + out <- rowData(x)[, rd_info] + + return(out) + } +) + +#' @rdname DeeDeeExperiment-methods +#' @export +setMethod("get_dea_list", + signature = c("DeeDeeExperiment"), + definition = function(x) { + deas <- dea(x) + dea_names <- names(deas) + + dea_list <- list() + + for (i in dea_names) { + dea_list[[i]] <- as.data.frame(get_dea_df(x, i)) + colnames(dea_list[[i]]) <- c("log2FoldChange", "pvalue", "padj") + } + + return(dea_list) + } +) + + + + +# misc - show & more ------------------------------------------------------ #' @name DeeDeeExperiment-misc #' @@ -49,13 +231,11 @@ setReplaceMethod("dea", #' @param object a \code{\link{DeeDeeExperiment}} object #' #' @return Returns NULL -#' NULL #' @rdname DeeDeeExperiment-misc #' @export -#' setMethod("show", signature = signature(object = "DeeDeeExperiment"), definition = function(object) { From 8bbf279e9747c04ce65799602129c4178f2d7081 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 15:16:02 +0100 Subject: [PATCH 061/182] renaming funcs in the examples --- R/DeeDee_cat.R | 2 +- R/DeeDee_heatmap.R | 2 +- R/DeeDee_qq.R | 2 +- R/DeeDee_qqmult.R | 2 +- R/DeeDee_scatter.R | 4 ++-- R/DeeDee_upset.R | 2 +- R/DeeDee_venn.R | 2 +- 7 files changed, 8 insertions(+), 8 deletions(-) diff --git a/R/DeeDee_cat.R b/R/DeeDee_cat.R index 469738b..a2621f5 100644 --- a/R/DeeDee_cat.R +++ b/R/DeeDee_cat.R @@ -44,7 +44,7 @@ ddedde_cat <- function(dde, # choices <- c("up", "down", "both") # checkmate::assert_choice(mode, choices) - dea_list <- get_deas_list(dde) + dea_list <- get_dea_list(dde) for (i in 1:length(dea_list)) { dea_list[i][[1]] <- subset( diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R index 2ad7874..2fca5ba 100644 --- a/R/DeeDee_heatmap.R +++ b/R/DeeDee_heatmap.R @@ -56,7 +56,7 @@ ddedde_heatmap <- function(dde, # checkmate::assert_choice(clust, choices2) # checkmate::assert_logical(show_na) - dea_list <- get_deas_list(dde) + dea_list <- get_dea_list(dde) # and then proceed as for the old implementation for (i in 1:length(dea_list)) { diff --git a/R/DeeDee_qq.R b/R/DeeDee_qq.R index bb635d8..5851687 100644 --- a/R/DeeDee_qq.R +++ b/R/DeeDee_qq.R @@ -47,7 +47,7 @@ ddedde_qq <- function(dde, # checkmate::assert_choice(color_by, choices) - dea_list <- get_deas_list(dde) + dea_list <- get_dea_list(dde) data_red <- list(dea_list[[select1]], dea_list[[select2]]) diff --git a/R/DeeDee_qqmult.R b/R/DeeDee_qqmult.R index 69167b0..b893ed6 100644 --- a/R/DeeDee_qqmult.R +++ b/R/DeeDee_qqmult.R @@ -39,7 +39,7 @@ ddedde_qqmult <- function(dde, # checkmate::assert_number(pthresh, lower = 0, upper = 1) # checkmate::assert_number(ref, lower = 1, upper = length(data)) - dea_list <- get_deas_list(dde) + dea_list <- get_dea_list(dde) output <- list() nm <- c() diff --git a/R/DeeDee_scatter.R b/R/DeeDee_scatter.R index a28ff40..d59b7b6 100644 --- a/R/DeeDee_scatter.R +++ b/R/DeeDee_scatter.R @@ -49,8 +49,8 @@ ddedde_scatter <- function(dde, names1 <- dea_names[select1] names2 <- dea_names[select2] - de_1 <- get_dea(dde, names1) - de_2 <- get_dea(dde, names2) + de_1 <- get_dea_df(dde, names1) + de_2 <- get_dea_df(dde, names2) data_red <- list( tibble::rownames_to_column(as.data.frame(de_1)), tibble::rownames_to_column(as.data.frame(de_2))) # selected samples diff --git a/R/DeeDee_upset.R b/R/DeeDee_upset.R index bfecebb..39d9ec9 100644 --- a/R/DeeDee_upset.R +++ b/R/DeeDee_upset.R @@ -43,7 +43,7 @@ ddedde_upset <- function(dde, # checkmate::assert_number(min_setsize, lower = 0) - dea_list <- get_deas_list(dde) + dea_list <- get_dea_list(dde) for (i in 1:length(dea_list)) { dea_list[[i]] <- subset(dea_list[[i]], dea_list[[i]]$padj < pthresh) # pthresh diff --git a/R/DeeDee_venn.R b/R/DeeDee_venn.R index 6cba481..65ae922 100644 --- a/R/DeeDee_venn.R +++ b/R/DeeDee_venn.R @@ -40,7 +40,7 @@ ddedde_venn <- function(dde, # checkmate::assert_choice(mode, choices) - dea_list <- get_deas_list(dde) + dea_list <- get_dea_list(dde) for (i in 1:length(dea_list)) { dea_list[[i]] <- subset( dea_list[[i]], From e817bfab42b901911fd8d7da3b80c6900417bef5 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 15:16:32 +0100 Subject: [PATCH 062/182] re-rendering manpages, after moving around the content of the docs --- man/DeeDeeExperiment-methods.Rd | 52 +++++++++++++++++++++++++++++++++ man/add_dea.Rd | 47 ----------------------------- man/ddedde_app.Rd | 42 -------------------------- man/get_dea.Rd | 22 -------------- man/get_deas_list.Rd | 20 ------------- man/remove_dea.Rd | 38 ------------------------ 6 files changed, 52 insertions(+), 169 deletions(-) delete mode 100644 man/add_dea.Rd delete mode 100644 man/ddedde_app.Rd delete mode 100644 man/get_dea.Rd delete mode 100644 man/get_deas_list.Rd delete mode 100644 man/remove_dea.Rd diff --git a/man/DeeDeeExperiment-methods.Rd b/man/DeeDeeExperiment-methods.Rd index 1fb6687..b48f170 100644 --- a/man/DeeDeeExperiment-methods.Rd +++ b/man/DeeDeeExperiment-methods.Rd @@ -4,18 +4,38 @@ \alias{DeeDeeExperiment-methods} \alias{dea} \alias{dea<-} +\alias{add_dea} +\alias{remove_dea} +\alias{get_dea_df} +\alias{get_dea_list} \alias{dea,DeeDeeExperiment-method} \alias{dea<-,DeeDeeExperiment,list-method} +\alias{add_dea,DeeDeeExperiment,list-method} +\alias{remove_dea,DeeDeeExperiment,character-method} +\alias{get_dea_df,DeeDeeExperiment,character-method} +\alias{get_dea_list,DeeDeeExperiment-method} \title{Methods for DeeDeeExperiment objects} \usage{ \S4method{dea}{DeeDeeExperiment}(x) \S4method{dea}{DeeDeeExperiment,list}(x) <- value + +\S4method{add_dea}{DeeDeeExperiment,list}(x, dea) + +\S4method{remove_dea}{DeeDeeExperiment,character}(x, dea_name) + +\S4method{get_dea_df}{DeeDeeExperiment,character}(x, dea_name) + +\S4method{get_dea_list}{DeeDeeExperiment}(x) } \arguments{ \item{x}{A \code{\link{DeeDeeExperiment}} object} \item{value}{Replacement value for replacement methods.} + +\item{dea}{todo} + +\item{dea_name}{todo} } \value{ Return value varies depending on method, as described below. @@ -23,3 +43,35 @@ Return value varies depending on method, as described below. \description{ Todo } +\examples{ +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) + +# creating a `DeeDeeExperiment` +dde <- DeeDeeExperiment( + se_macrophage_noassays, + de_results = del +) +dde + +new_del <- list( + ifng2 = del$ifng_vs_naive, + ifngsalmo2 = del$ifngsalmo_vs_naive +) + +# add a new (set of) DE result(s) +dde_new <- add_dea(dde, new_del) +dde_new + +# removing DEAs +dde_removed <- remove_dea(dde, "ifng_vs_naive") +dde_removed +} diff --git a/man/add_dea.Rd b/man/add_dea.Rd deleted file mode 100644 index 6664d3c..0000000 --- a/man/add_dea.Rd +++ /dev/null @@ -1,47 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDeeExperiment.R -\name{add_dea} -\alias{add_dea} -\title{dde : the deedee exp object -dea: the named list, as for the main constructor -Title} -\usage{ -add_dea(dde, dea) -} -\arguments{ -\item{dde}{todo} - -\item{dea}{todo} -} -\value{ -todo -} -\description{ -dde : the deedee exp object -dea: the named list, as for the main constructor -Title -} -\examples{ -data("de_named_list", package = "DeeDee") -library("SummarizedExperiment") - -rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) -se_macrophage_noassays <- SummarizedExperiment( - assays = SimpleList(), - rowData = rd_macrophage -) -dde <- DeeDeeExperiment( - se_macrophage_noassays, - de_results = del -) -dde - -new_del <- list( - ifng2 = del$ifng_vs_naive, - ifngsalmo2 = del$ifngsalmo_vs_naive -) -# add a new (set of) DE result(s) -dde_new <- add_dea(dde, new_del) -} diff --git a/man/ddedde_app.Rd b/man/ddedde_app.Rd deleted file mode 100644 index 799877f..0000000 --- a/man/ddedde_app.Rd +++ /dev/null @@ -1,42 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDee-app.R -\name{ddedde_app} -\alias{ddedde_app} -\title{DeeDee App} -\usage{ -ddedde_app(deedee_obj = NULL) -} -\arguments{ -\item{deedee_obj}{An object of the class DeeDeeObject to be analyzed.} -} -\value{ -A shiny app -} -\description{ -\code{deedee_app} opens the DeeDee Shiny web application, combining -the functionalities of all other DeeDee functions with a user-friendly -graphical user interface. -} -\examples{ - -data(DE_results_IFNg_naive, package = "DeeDee") -# IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -# IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -# Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -# Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -# dd_list <- list( -# IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -# Salm_naive = Salm_naive, Salm_both = Salm_both -# ) - -if (interactive()) { - # deedee_app(dd_list) -} -} diff --git a/man/get_dea.Rd b/man/get_dea.Rd deleted file mode 100644 index 12bb9b2..0000000 --- a/man/get_dea.Rd +++ /dev/null @@ -1,22 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDeeExperiment.R -\name{get_dea} -\alias{get_dea} -\title{Title} -\usage{ -get_dea(dde, dea_name) -} -\arguments{ -\item{dde}{TODO} - -\item{dea_name}{TODO} -} -\value{ -TODO -} -\description{ -Title -} -\examples{ -# TODO -} diff --git a/man/get_deas_list.Rd b/man/get_deas_list.Rd deleted file mode 100644 index bb09b03..0000000 --- a/man/get_deas_list.Rd +++ /dev/null @@ -1,20 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDeeExperiment.R -\name{get_deas_list} -\alias{get_deas_list} -\title{this reminds the format of the DeeDee list object} -\usage{ -get_deas_list(dde) -} -\arguments{ -\item{dde}{todo} -} -\value{ -todo -} -\description{ -this reminds the format of the DeeDee list object -} -\examples{ -# todo -} diff --git a/man/remove_dea.Rd b/man/remove_dea.Rd deleted file mode 100644 index 79f6c14..0000000 --- a/man/remove_dea.Rd +++ /dev/null @@ -1,38 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDeeExperiment.R -\name{remove_dea} -\alias{remove_dea} -\title{Title} -\usage{ -remove_dea(dde, dea_name) -} -\arguments{ -\item{dde}{todo} - -\item{dea_name}{todo} -} -\value{ -todo -} -\description{ -Title -} -\examples{ -data("de_named_list", package = "DeeDee") -library("SummarizedExperiment") - -rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) -se_macrophage_noassays <- SummarizedExperiment( - assays = SimpleList(), - rowData = rd_macrophage -) -dde <- DeeDeeExperiment( - se_macrophage_noassays, - de_results = del -) -dde - -dde_new <- remove_dea(dde, "ifng_vs_naive") -} From ea76e1ea96ccd0cbbc97680ec3f378e086f51f41 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 15:17:01 +0100 Subject: [PATCH 063/182] back to having the se as parameter to preserve rowData - revisit this? --- R/DeeDeeExperiment.R | 203 +--------------------------------------- man/DeeDeeExperiment.Rd | 5 +- 2 files changed, 7 insertions(+), 201 deletions(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 2c3ea7f..3232bd3 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -6,8 +6,7 @@ #' #' dde <- DeeDeeExperiment(se_macrophage, de_results = del) #' -#' @param ... Arguments passed to the \code{\link{SummarizedExperiment}} -#'constructor to fill the slots of the base class. +#' @param se SumExp #' @param de_results ssss #' #' @return tODO @@ -15,10 +14,10 @@ #' #' @examples #' # todo -DeeDeeExperiment <- function(..., +DeeDeeExperiment <- function(se, de_results = NULL) { - se <- SummarizedExperiment(...) + # se <- SummarizedExperiment(...) if (!is(se, "RangedSummarizedExperiment")) { if (is(se, "SummarizedExperiment")) { @@ -30,6 +29,8 @@ DeeDeeExperiment <- function(..., # TODO: if no SE is really provided, instantiate some rownames, at least directly # from the rownames of the result objects + # TODO: the row names are taken from the FIRST object in the de results then - or + # from the union of all of them? if (is.null(de_results)) { object <- new("DeeDeeExperiment", @@ -174,197 +175,3 @@ deedee_import <- function(x) { -#' dde : the deedee exp object -#' dea: the named list, as for the main constructor -#' Title -#' -#' @param dde todo -#' @param dea todo -#' -#' @return todo -#' @export -#' -#' @examples -#' data("de_named_list", package = "DeeDee") -#' library("SummarizedExperiment") -#' -#' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) -#' se_macrophage_noassays <- SummarizedExperiment( -#' assays = SimpleList(), -#' rowData = rd_macrophage -#' ) -#' dde <- DeeDeeExperiment( -#' se_macrophage_noassays, -#' de_results = del -#' ) -#' dde -#' -#' new_del <- list( -#' ifng2 = del$ifng_vs_naive, -#' ifngsalmo2 = del$ifngsalmo_vs_naive -#' ) -#' # add a new (set of) DE result(s) -#' dde_new <- add_dea(dde, new_del) -add_dea <- function(dde, dea) { - # dde must be a DeeDeeExp - # dea must be named list - - # check that names are all unique, and do not overlap with the existing ones - names(dea) - names(dea(dde)) - - dea_contrasts <- dea(dde) - dde_ids <- rownames(dde) - - # update rowData, naming them correctly - for (i in names(dea)){ - this_de <- dea[[i]] - - # do different things according to what these objects are - if(is(this_de, "DESeqResults")) { - matched_ids <- match(rownames(dde), dde_ids) - - # if not tested, add NA - everywhere? -> pre-fill? - rowData(dde)[[paste0(i,"_log2FoldChange")]] <- NA - rowData(dde)[[paste0(i,"_pvalue")]] <- NA - rowData(dde)[[paste0(i,"_padj")]] <- NA - - rowData(dde)[[paste0(i,"_log2FoldChange")]][matched_ids] <- this_de$log2FoldChange - rowData(dde)[[paste0(i,"_pvalue")]][matched_ids] <- this_de$pvalue - rowData(dde)[[paste0(i,"_padj")]][matched_ids] <- this_de$padj - - dea_contrasts[[i]] <- list( - alpha = metadata(this_de)$alpha, - lfcThreshold = metadata(this_de)$lfcThreshold, - metainfo_logFC = mcols(this_de)$description[colnames(this_de) == "log2FoldChange"], - metainfo_pvalue = mcols(this_de)$description[colnames(this_de) == "pvalue"], - original_object = this_de, - package = "DESeq2" - ) - } - } - # update the deslot - ## TODO should be a replacement operator? - dea(dde) <- dea_contrasts - - # here check some validity? - # TODO - - # return the object - return(dde) -} - -# TODO: might need one where I also simply add ONE single DE object, and that gets autoconverted to a named list (of length 1) - - -#' Title -#' -#' @param dde todo -#' @param dea_name todo -#' -#' @return todo -#' @export -#' -#' @examples -#' data("de_named_list", package = "DeeDee") -#' library("SummarizedExperiment") -#' -#' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) -#' se_macrophage_noassays <- SummarizedExperiment( -#' assays = SimpleList(), -#' rowData = rd_macrophage -#' ) -#' dde <- DeeDeeExperiment( -#' se_macrophage_noassays, -#' de_results = del -#' ) -#' dde -#' -#' dde_new <- remove_dea(dde, "ifng_vs_naive") -remove_dea <- function(dde, dea_name) { - # dde must be a DeeDeeExp - - # dea must be char vector - deas <- names(dea(dde)) - - deas_to_remove <- intersect(dea_name, deas) - # warning() if nothing to remove - - for (i in deas_to_remove) { - cols_to_remove <- c(paste0(i, c("_log2FoldChange", "_pvalue", "_padj"))) - rowData(dde) <- rowData(dde)[, !(colnames(rowData(dde)) %in% cols_to_remove)] - } - - # update the deslot - dea(dde)[[deas_to_remove]] <- NULL - - # here check some validity? - validObject(dde) - - # return the object - return(dde) -} - - - - - -#' Title -#' -#' @param dde TODO -#' @param dea_name TODO -#' -#' @return TODO -#' @export -#' -#' @examples -#' # TODO -get_dea <- function(dde, - dea_name) { - deas <- dea(dde) - dea_names <- names(deas) - - if (!(dea_name %in% dea_names)) { - stop("dea not found") - } - - rd_info <- paste0(dea_name, - c("_log2FoldChange", "_pvalue", "_padj")) - - if (! all(rd_info %in% colnames(rowData(dde)))) { - stop("Columns not found") - } - - out <- rowData(dde)[, rd_info] - - return(out) -} - - -#' this reminds the format of the DeeDee list object -#' -#' @param dde todo -#' -#' @return todo -#' @export -#' -#' @examples -#' # todo -get_deas_list<- function(dde) { - deas <- dea(dde) - dea_names <- names(deas) - - dea_list <- list() - - for (i in dea_names) { - dea_list[[i]] <- as.data.frame(get_dea(dde, i)) - colnames(dea_list[[i]]) <- c("log2FoldChange", "pvalue", "padj") - } - - return(dea_list) -} - diff --git a/man/DeeDeeExperiment.Rd b/man/DeeDeeExperiment.Rd index a23d395..28bf9ef 100644 --- a/man/DeeDeeExperiment.Rd +++ b/man/DeeDeeExperiment.Rd @@ -6,11 +6,10 @@ \alias{DeeDeeExperiment} \title{DeeDeeExperiment} \usage{ -DeeDeeExperiment(..., de_results = NULL) +DeeDeeExperiment(se, de_results = NULL) } \arguments{ -\item{...}{Arguments passed to the \code{\link{SummarizedExperiment}} -constructor to fill the slots of the base class.} +\item{se}{SumExp} \item{de_results}{ssss} } From 7af24c8bb26fb9c04dd559b2d1afa78edfa17d02 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 15:17:30 +0100 Subject: [PATCH 064/182] re-do namespace --- NAMESPACE | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 5b86b56..df32c42 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -14,13 +14,16 @@ export(ddedde_upset) export(ddedde_venn) export(de_list_checker) export(dea) -export(deedee_app) -export(get_dea) -export(get_deas_list) +export(get_dea_df) +export(get_dea_list) export(remove_dea) exportClasses(DeeDeeExperiment) exportMethods("dea<-") +exportMethods(add_dea) exportMethods(dea) +exportMethods(get_dea_df) +exportMethods(get_dea_list) +exportMethods(remove_dea) exportMethods(show) import(methods) importClassesFrom(SummarizedExperiment,RangedSummarizedExperiment) From fc49abb3f02f63a9db42e2ce8d47fce886741918 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 16:59:35 +0100 Subject: [PATCH 065/182] referring to DeeDeeLegacy package - for the sake of not breaking code --- DESCRIPTION | 1 + NAMESPACE | 11 +++++++++++ R/DeeDee-app_helpers.R | 6 +++--- R/DeeDee-pkg.R | 2 ++ inst/scripts/create_datasets_example.R | 8 ++++---- 5 files changed, 21 insertions(+), 7 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 15c1f4e..57753f8 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -25,6 +25,7 @@ RoxygenNote: 7.2.1 Depends: R (>= 4.1.0) Imports: + DeeDeeLegacy, AnnotationDbi, checkmate, clusterProfiler, diff --git a/NAMESPACE b/NAMESPACE index df32c42..db85d22 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -3,6 +3,7 @@ export("dea<-") export(DeeDeeExperiment) export(add_dea) +export(ddedde_app) export(ddedde_bars) export(ddedde_cat) export(ddedde_heatmap) @@ -34,6 +35,16 @@ importFrom(ComplexUpset,intersection_size) importFrom(ComplexUpset,upset) importFrom(DESeq2,DESeq) importFrom(DESeq2,results) +importFrom(DeeDeeLegacy,DeeDeeObject) +importFrom(DeeDeeLegacy,deedee_cat) +importFrom(DeeDeeLegacy,deedee_heatmap) +importFrom(DeeDeeLegacy,deedee_prepare) +importFrom(DeeDeeLegacy,deedee_qq) +importFrom(DeeDeeLegacy,deedee_qqmult) +importFrom(DeeDeeLegacy,deedee_scatter) +importFrom(DeeDeeLegacy,deedee_summary) +importFrom(DeeDeeLegacy,deedee_upset) +importFrom(DeeDeeLegacy,deedee_venn) importFrom(InteractiveComplexHeatmap,makeInteractiveComplexHeatmap) importFrom(S4Vectors,"metadata<-") importFrom(S4Vectors,metadata) diff --git a/R/DeeDee-app_helpers.R b/R/DeeDee-app_helpers.R index a46427d..47f012b 100644 --- a/R/DeeDee-app_helpers.R +++ b/R/DeeDee-app_helpers.R @@ -6,14 +6,14 @@ rds_input <- function(obj, obj <- obj@DeeDeeList } if (is(obj, "DESeqResults")) { - obj <- deedee_prepare(obj, "DESeq2") + obj <- DeeDeeLegacy::deedee_prepare(obj, "DESeq2") obj <- list(obj) names(obj) <- unlist(strsplit(nm, split = ".", fixed = TRUE ))[1] } else if (is(obj, "DGEExact")) { - obj <- deedee_prepare(obj, "edgeR") + obj <- DeeDeeLegacy::deedee_prepare(obj, "edgeR") obj <- list(obj) names(obj) <- unlist(strsplit(nm, split = ".", @@ -52,7 +52,7 @@ rds_input <- function(obj, )) == FALSE) { return(NULL) } - obj <- deedee_prepare(obj, "limma") + obj <- DeeDeeLegacy::deedee_prepare(obj, "limma") obj <- list(obj) names(obj) <- unlist(strsplit(nm, split = ".", diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index d1e32ea..80af2d1 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -43,6 +43,8 @@ #' @importFrom S4Vectors metadata metadata<- #' @importFrom rlang .data #' @import methods +#' @importFrom DeeDeeLegacy deedee_prepare deedee_cat deedee_heatmap deedee_qq +#' deedee_qqmult deedee_scatter deedee_summary deedee_upset deedee_venn DeeDeeObject #' #' @name DeeDee-pkg #' @docType package diff --git a/inst/scripts/create_datasets_example.R b/inst/scripts/create_datasets_example.R index 7da26e6..361d7ab 100644 --- a/inst/scripts/create_datasets_example.R +++ b/inst/scripts/create_datasets_example.R @@ -107,10 +107,10 @@ Salm_both # for the original object/implementation: # dd_list_original <- list( -# IFNg_naive = DeeDee::deedee_prepare(IFNg_naive, "DESeq2"), -# IFNg_both = DeeDee::deedee_prepare(IFNg_both, "DESeq2"), -# Salm_naive = DeeDee::deedee_prepare(Salm_naive, "DESeq2"), -# Salm_both = DeeDee::deedee_prepare(Salm_both, "DESeq2") +# IFNg_naive = DeeDeeLegacy::deedee_prepare(IFNg_naive, "DESeq2"), +# IFNg_both = DeeDeeLegacy::deedee_prepare(IFNg_both, "DESeq2"), +# Salm_naive = DeeDeeLegacy::deedee_prepare(Salm_naive, "DESeq2"), +# Salm_both = DeeDeeLegacy::deedee_prepare(Salm_both, "DESeq2") # ) # save(dd_list_original, file = "data/dd_list_original.RData", compress = "xz") From eb439e36aa1b91fe5d6e22e229d0ee11b1c341e5 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 17:09:47 +0100 Subject: [PATCH 066/182] restoring some healthy indentation --- R/DeeDee-app.R | 1030 ++++++++++++++++++++++++------------------------ 1 file changed, 516 insertions(+), 514 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 91d8597..7f350c1 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -4,7 +4,7 @@ #' the functionalities of all other DeeDee functions with a user-friendly #' graphical user interface. #' -#' @param deedee_obj An object of the class DeeDeeObject to be analyzed. +#' @param dde An object of the class DeeDeeExperiment to be analyzed. #' #' @return A shiny app #' @export @@ -30,525 +30,527 @@ #' #' if (interactive()) { #' # deedee_app(dd_list) +#' # ddedde_app(dde) #' } -ddedde_app <- function(deedee_obj = NULL) { +ddedde_app <- function(dde = NULL) { # ---------------------------------------------------------------------------- # --------------------------------- U I -------------------------------------- # ---------------------------------------------------------------------------- - deedee_ui <- shiny::navbarPage("DeeDee", - id = "tabs", - theme = shinythemes::shinytheme("flatly"), - - - # ----------------------------- data input --------------------------------- - shiny::tabPanel( - "Input", - shiny::fluidRow( - shiny::column( - 8, - shiny::fileInput("inp", "Upload your DEA results or DeeDee objects", - multiple = TRUE, - accept = c(".rds", ".txt", ".xlsx"), - placeholder = "No files selected" - ), - shiny::tableOutput("inp_infobox") - ), - shiny::column( - 4, - shiny::selectInput("organism", "Organism", - choices = list( - "Human" = "org.Hs.eg.db", - "Mouse" = "org.Mm.eg.db", - "Fly" = "org.Dm.eg.db", - "Rat" = "org.Rn.eg.db" - ) - ), - shiny::uiOutput("key_inp"), - shiny::uiOutput("datasets"), - shiny::conditionalPanel( - "output.inp_infobox", - shiny::downloadButton( - "inp_download", - "Download DeeDee object (.RDS)" - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "input.md", - package = "DeeDee" - )), - style = "primary" - ) - ), - - # shiny::downloadButton("vignette", - # "Download DeeDee Package vignette (.html)") - ), - - - # ------------------------------- scatter ---------------------------------- - shiny::tabPanel( - "Scatterplot", - shiny::fluidRow( - shiny::column( - 4, - shiny::uiOutput("scatter_choices1"), - shiny::uiOutput("scatter_choices2"), - shiny::selectInput("scatter_color_by", "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" - ), - shiny::numericInput("scatter_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ), - shiny::actionButton("ora_button", "Over-representation analysis") - ), - shiny::column( - 8, - shinycssloaders::withSpinner( - shiny::plotOutput("scatter", - # dblclick = "scatter_dblclick", - brush = shiny::brushOpts( - id = "scatter_brush", - resetOnNew = FALSE - ) - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "scatter.md", - package = "DeeDee" - )), - style = "primary" - ) - ), - shinyBS::bsModal( - id = "modalExample", - title = "Gene Ontology over-representation analysis", - trigger = "ora_button", - size = "large", - shinycssloaders::withSpinner(shiny::plotOutput("scatter_ora")), - shiny::downloadButton( - "ora_download", - "Download enrichment result object (.RDS)" - ) - ), - shiny::downloadButton( - "scatter_brush_download", - "Download brushed genes (.xlsx)" - ), - shiny::tableOutput("scatter_brush_info") - ), - - - # ------------------------------- heatmap ---------------------------------- - shiny::tabPanel( - "Heatmap", - id = "heatmap", - shiny::fluidRow( - shiny::column( - 4, - shiny::numericInput("heatmap_show_first", - "Show first", - value = 25, - min = 1 - ), - shiny::checkboxInput("heatmap_show_gene_names", - "Show gene names", - value = FALSE - ), - shiny::checkboxInput("heatmap_showNA", - "Show NA", - value = FALSE - ), - shiny::selectInput("heatmap_dist", "Distance measure", - choices = list( - "Euclidean" = "euclidean", - "Manhattan" = "manhattan", - "Pearson" = "pearson", - "Spearman" = "spearman" - ), - selected = "euclidean" - ), - shiny::selectInput("heatmap_clust", "Clustering method", - choices = list( - "Single" = "single", - "Complete" = "complete", - "Average" = "average", - "Centroid" = "centroid" - ), - selected = "average" - ), - shiny::numericInput("heatmap_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ), - shiny::actionButton("heatmap_action", "Create heatmap") - ), - shiny::column( - 8, - shiny::textOutput("heatmap_errors"), - shiny::conditionalPanel( - "output.heatmap_errors == ''", - shinycssloaders::withSpinner( - InteractiveComplexHeatmap:: - InteractiveComplexHeatmapOutput() - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "heatmap.md", - package = "DeeDee" - )), - style = "primary" - ) - ) - ), - - - # -------------------------------- venn ------------------------------------ - shiny::tabPanel( - "Venn Diagram", - shiny::fluidRow( - shiny::column( - 4, - shiny::selectInput("venn_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ), - shiny::numericInput("venn_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - 8, - shinycssloaders::withSpinner( - shiny::plotOutput("venn") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "venn.md", - package = "DeeDee" - )), - style = "primary" - ) - ) - ), - - - # -------------------------------- upSet ----------------------------------- - shiny::tabPanel( - "UpSet Plot", - shiny::fluidRow( - shiny::column( - 4, - shiny::selectInput("upset_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ), - shiny::conditionalPanel( - condition = "input.upset_mode == 'both'", - shiny::checkboxInput( - "upset_colored", - "Coloring", - TRUE - ) - ), - shiny::numericInput("upset_minset", "Minimum set size", - value = 10, min = 0, step = 1 - ), - shiny::numericInput("upset_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - 8, - shinycssloaders::withSpinner( - shiny::plotOutput("upset") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "upset.md", - package = "DeeDee" - )), - style = "primary" - ) - ) - ), - - - # --------------------------------- qq ------------------------------------- - shiny::tabPanel( - "Quantile-Quantile Plot", - shiny::fluidRow( - shiny::column( - 4, - shiny::checkboxInput("qq_multiple", "Multiple", value = FALSE), - shiny::conditionalPanel( - condition = "!input.qq_multiple", - shiny::uiOutput("qq_choices1"), - shiny::uiOutput("qq_choices2"), - shiny::selectInput("qq_color_by", "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" - ), - shiny::checkboxInput("qq_line", "As line", value = FALSE) - ), - shiny::conditionalPanel( - condition = "input.qq_multiple", - shiny::uiOutput("qq_ref"), - ), - shiny::numericInput("qq_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - 8, - shiny::conditionalPanel( - condition = "!input.qq_multiple", - shinycssloaders::withSpinner( - shiny::plotOutput("qq", - brush = "qq_brush" - ) - ) - ), - shiny::conditionalPanel( - condition = "input.qq_multiple", - shinycssloaders::withSpinner( - shiny::plotOutput("qq_mult") - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "qq.md", - package = "DeeDee" - )), - style = "primary" - ) - ), - shiny::conditionalPanel( - condition = "!input.qq_multiple", - shiny::downloadButton( - "qq_brush_download", - "Download brushed genes (.xlsx)" - ), - shiny::tableOutput("qq_brush_info") - ) - ), - - - # --------------------------------- cat ------------------------------------ - shiny::tabPanel( - "Concordance At the Top Plot", - shiny::fluidRow( - shiny::column( - 4, - shiny::selectInput("cat_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "up" - ), - shiny::numericInput("cat_maxrank", - "Max rank", - value = 1000, - min = 1 - ), - shiny::uiOutput("cat_choice"), - shiny::numericInput("cat_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - 8, - shinycssloaders::withSpinner( - shiny::plotOutput("cat") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "cat.md", - package = "DeeDee" - )), - style = "primary" - ) - ) - ), - - # ------------------------------- summary ---------------------------------- - shiny::tabPanel( - "Summary", - shiny::numericInput("sum_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ), - shiny::actionButton("sum_button", "Create Summary"), - shinyBS::bsModal( - id = "sum_modal", - title = "DeeDee Summary", - trigger = "sum_button", - size = "large", - shiny::fluidPage( - shiny::downloadButton( - "sum_download", - "Download your DeeDee Summary (.html)" - ), - shinycssloaders::withSpinner(shiny::uiOutput("show_html_summary")) - ) - ), - shiny::fluidRow( - shinydashboard::tabBox( - title = "", - width = 12, - id = "sum_params", - shiny::tabPanel( - "Scatterplot", - shiny::uiOutput("sum_scatter_choices1"), - shiny::uiOutput("sum_scatter_choices2"), - shiny::selectInput("sum_scatter_color_by", "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" - ) - ), - shiny::tabPanel( - "Heatmap", - shiny::numericInput("sum_heatmap_show_first", - "Show first", - value = 25, - min = 1 - ), - shiny::checkboxInput("sum_heatmap_show_gene_names", - "Show gene names", - value = FALSE - ), - shiny::checkboxInput("sum_heatmap_show_na", - "Show NA", - value = FALSE - ), - shiny::selectInput("sum_heatmap_dist", "Distance measure", - choices = list( - "Euclidean" = "euclidean", - "Manhattan" = "manhattan", - "Pearson" = "pearson", - "Spearman" = "spearman" - ), - selected = "euclidean" - ), - shiny::selectInput("sum_heatmap_clust", "Clustering method", - choices = list( - "Single" = "single", - "Complete" = "complete", - "Average" = "average", - "Centroid" = "centroid" - ), - selected = "average" - ) - ), - shiny::tabPanel( - "Venn Diagram", - shiny::selectInput("sum_venn_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ) - ), - shiny::tabPanel( - "UpSet Plot", - shiny::selectInput("sum_upset_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ), - shiny::conditionalPanel( - condition = "input.sum_upset_mode == 'both'", - shiny::checkboxInput( - "sum_upset_colored", - "Coloring", - TRUE - ) - ), - shiny::numericInput("sum_upset_min_setsize", "Minimum set size", - value = 10, min = 0, step = 1 - ) - ), - shiny::tabPanel( - "Quantile-Quantile Plot", - shiny::uiOutput("sum_qq_ref"), - ), - shiny::tabPanel( - "Concordance At the Top Plot", - shiny::selectInput("sum_cat_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "up" - ), - shiny::numericInput("sum_cat_maxrank", - "Max rank", - value = 1000, - min = 1 - ), - shiny::uiOutput("sum_cat_choice") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "summary.md", - package = "DeeDee" - )), - style = "primary" - ) - ) - ) + deedee_ui <- shiny::navbarPage( + title = "DeeDee", + id = "tabs", + theme = shinythemes::shinytheme("flatly"), + + + # ----------------------------- data input --------------------------------- + shiny::tabPanel( + "Input", + shiny::fluidRow( + shiny::column( + 8, + shiny::fileInput("inp", "Upload your DEA results or DeeDee objects", + multiple = TRUE, + accept = c(".rds", ".txt", ".xlsx"), + placeholder = "No files selected" + ), + shiny::tableOutput("inp_infobox") + ), + shiny::column( + 4, + shiny::selectInput("organism", "Organism", + choices = list( + "Human" = "org.Hs.eg.db", + "Mouse" = "org.Mm.eg.db", + "Fly" = "org.Dm.eg.db", + "Rat" = "org.Rn.eg.db" + ) + ), + shiny::uiOutput("key_inp"), + shiny::uiOutput("datasets"), + shiny::conditionalPanel( + "output.inp_infobox", + shiny::downloadButton( + "inp_download", + "Download DeeDee object (.RDS)" + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "input.md", + package = "DeeDee" + )), + style = "primary" + ) + ), + + # shiny::downloadButton("vignette", + # "Download DeeDee Package vignette (.html)") + ), + + + # ------------------------------- scatter ---------------------------------- + shiny::tabPanel( + "Scatterplot", + shiny::fluidRow( + shiny::column( + 4, + shiny::uiOutput("scatter_choices1"), + shiny::uiOutput("scatter_choices2"), + shiny::selectInput("scatter_color_by", "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" + ), + shiny::numericInput("scatter_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ), + shiny::actionButton("ora_button", "Over-representation analysis") + ), + shiny::column( + 8, + shinycssloaders::withSpinner( + shiny::plotOutput("scatter", + # dblclick = "scatter_dblclick", + brush = shiny::brushOpts( + id = "scatter_brush", + resetOnNew = FALSE + ) + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "scatter.md", + package = "DeeDee" + )), + style = "primary" + ) + ), + shinyBS::bsModal( + id = "modalExample", + title = "Gene Ontology over-representation analysis", + trigger = "ora_button", + size = "large", + shinycssloaders::withSpinner(shiny::plotOutput("scatter_ora")), + shiny::downloadButton( + "ora_download", + "Download enrichment result object (.RDS)" + ) + ), + shiny::downloadButton( + "scatter_brush_download", + "Download brushed genes (.xlsx)" + ), + shiny::tableOutput("scatter_brush_info") + ), + + + # ------------------------------- heatmap ---------------------------------- + shiny::tabPanel( + "Heatmap", + id = "heatmap", + shiny::fluidRow( + shiny::column( + 4, + shiny::numericInput("heatmap_show_first", + "Show first", + value = 25, + min = 1 + ), + shiny::checkboxInput("heatmap_show_gene_names", + "Show gene names", + value = FALSE + ), + shiny::checkboxInput("heatmap_showNA", + "Show NA", + value = FALSE + ), + shiny::selectInput("heatmap_dist", "Distance measure", + choices = list( + "Euclidean" = "euclidean", + "Manhattan" = "manhattan", + "Pearson" = "pearson", + "Spearman" = "spearman" + ), + selected = "euclidean" + ), + shiny::selectInput("heatmap_clust", "Clustering method", + choices = list( + "Single" = "single", + "Complete" = "complete", + "Average" = "average", + "Centroid" = "centroid" + ), + selected = "average" + ), + shiny::numericInput("heatmap_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ), + shiny::actionButton("heatmap_action", "Create heatmap") + ), + shiny::column( + 8, + shiny::textOutput("heatmap_errors"), + shiny::conditionalPanel( + "output.heatmap_errors == ''", + shinycssloaders::withSpinner( + InteractiveComplexHeatmap:: + InteractiveComplexHeatmapOutput() + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "heatmap.md", + package = "DeeDee" + )), + style = "primary" + ) + ) + ), + + + # -------------------------------- venn ------------------------------------ + shiny::tabPanel( + "Venn Diagram", + shiny::fluidRow( + shiny::column( + 4, + shiny::selectInput("venn_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ), + shiny::numericInput("venn_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + 8, + shinycssloaders::withSpinner( + shiny::plotOutput("venn") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "venn.md", + package = "DeeDee" + )), + style = "primary" + ) + ) + ), + + + # -------------------------------- upSet ----------------------------------- + shiny::tabPanel( + "UpSet Plot", + shiny::fluidRow( + shiny::column( + 4, + shiny::selectInput("upset_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ), + shiny::conditionalPanel( + condition = "input.upset_mode == 'both'", + shiny::checkboxInput( + "upset_colored", + "Coloring", + TRUE + ) + ), + shiny::numericInput("upset_minset", "Minimum set size", + value = 10, min = 0, step = 1 + ), + shiny::numericInput("upset_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + 8, + shinycssloaders::withSpinner( + shiny::plotOutput("upset") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "upset.md", + package = "DeeDee" + )), + style = "primary" + ) + ) + ), + + + # --------------------------------- qq ------------------------------------- + shiny::tabPanel( + "Quantile-Quantile Plot", + shiny::fluidRow( + shiny::column( + 4, + shiny::checkboxInput("qq_multiple", "Multiple", value = FALSE), + shiny::conditionalPanel( + condition = "!input.qq_multiple", + shiny::uiOutput("qq_choices1"), + shiny::uiOutput("qq_choices2"), + shiny::selectInput("qq_color_by", "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" + ), + shiny::checkboxInput("qq_line", "As line", value = FALSE) + ), + shiny::conditionalPanel( + condition = "input.qq_multiple", + shiny::uiOutput("qq_ref"), + ), + shiny::numericInput("qq_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + 8, + shiny::conditionalPanel( + condition = "!input.qq_multiple", + shinycssloaders::withSpinner( + shiny::plotOutput("qq", + brush = "qq_brush" + ) + ) + ), + shiny::conditionalPanel( + condition = "input.qq_multiple", + shinycssloaders::withSpinner( + shiny::plotOutput("qq_mult") + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "qq.md", + package = "DeeDee" + )), + style = "primary" + ) + ), + shiny::conditionalPanel( + condition = "!input.qq_multiple", + shiny::downloadButton( + "qq_brush_download", + "Download brushed genes (.xlsx)" + ), + shiny::tableOutput("qq_brush_info") + ) + ), + + + # --------------------------------- cat ------------------------------------ + shiny::tabPanel( + "Concordance At the Top Plot", + shiny::fluidRow( + shiny::column( + 4, + shiny::selectInput("cat_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "up" + ), + shiny::numericInput("cat_maxrank", + "Max rank", + value = 1000, + min = 1 + ), + shiny::uiOutput("cat_choice"), + shiny::numericInput("cat_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + 8, + shinycssloaders::withSpinner( + shiny::plotOutput("cat") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "cat.md", + package = "DeeDee" + )), + style = "primary" + ) + ) + ), + + # ------------------------------- summary ---------------------------------- + shiny::tabPanel( + "Summary", + shiny::numericInput("sum_pthresh", "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ), + shiny::actionButton("sum_button", "Create Summary"), + shinyBS::bsModal( + id = "sum_modal", + title = "DeeDee Summary", + trigger = "sum_button", + size = "large", + shiny::fluidPage( + shiny::downloadButton( + "sum_download", + "Download your DeeDee Summary (.html)" + ), + shinycssloaders::withSpinner(shiny::uiOutput("show_html_summary")) + ) + ), + shiny::fluidRow( + shinydashboard::tabBox( + title = "", + width = 12, + id = "sum_params", + shiny::tabPanel( + "Scatterplot", + shiny::uiOutput("sum_scatter_choices1"), + shiny::uiOutput("sum_scatter_choices2"), + shiny::selectInput("sum_scatter_color_by", "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" + ) + ), + shiny::tabPanel( + "Heatmap", + shiny::numericInput("sum_heatmap_show_first", + "Show first", + value = 25, + min = 1 + ), + shiny::checkboxInput("sum_heatmap_show_gene_names", + "Show gene names", + value = FALSE + ), + shiny::checkboxInput("sum_heatmap_show_na", + "Show NA", + value = FALSE + ), + shiny::selectInput("sum_heatmap_dist", "Distance measure", + choices = list( + "Euclidean" = "euclidean", + "Manhattan" = "manhattan", + "Pearson" = "pearson", + "Spearman" = "spearman" + ), + selected = "euclidean" + ), + shiny::selectInput("sum_heatmap_clust", "Clustering method", + choices = list( + "Single" = "single", + "Complete" = "complete", + "Average" = "average", + "Centroid" = "centroid" + ), + selected = "average" + ) + ), + shiny::tabPanel( + "Venn Diagram", + shiny::selectInput("sum_venn_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ) + ), + shiny::tabPanel( + "UpSet Plot", + shiny::selectInput("sum_upset_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ), + shiny::conditionalPanel( + condition = "input.sum_upset_mode == 'both'", + shiny::checkboxInput( + "sum_upset_colored", + "Coloring", + TRUE + ) + ), + shiny::numericInput("sum_upset_min_setsize", "Minimum set size", + value = 10, min = 0, step = 1 + ) + ), + shiny::tabPanel( + "Quantile-Quantile Plot", + shiny::uiOutput("sum_qq_ref"), + ), + shiny::tabPanel( + "Concordance At the Top Plot", + shiny::selectInput("sum_cat_mode", "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "up" + ), + shiny::numericInput("sum_cat_maxrank", + "Max rank", + value = 1000, + min = 1 + ), + shiny::uiOutput("sum_cat_choice") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel("INFO", + shiny::includeMarkdown(system.file("extdata", + "summary.md", + package = "DeeDee" + )), + style = "primary" + ) + ) + ) ) From 11a0c5eae1c1dd22a6814c1e97c927f17efb8a2f Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 17:17:36 +0100 Subject: [PATCH 067/182] explicitly specifying width for columns --- R/DeeDee-app.R | 35 ++++++++++++++++------------------- 1 file changed, 16 insertions(+), 19 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 7f350c1..2999289 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -34,22 +34,19 @@ #' } ddedde_app <- function(dde = NULL) { - # ---------------------------------------------------------------------------- - # --------------------------------- U I -------------------------------------- - # ---------------------------------------------------------------------------- + # UI definition ----------------------------------------------------------- deedee_ui <- shiny::navbarPage( title = "DeeDee", id = "tabs", theme = shinythemes::shinytheme("flatly"), - - # ----------------------------- data input --------------------------------- + # data input -------------------------------------------------------------- shiny::tabPanel( "Input", shiny::fluidRow( shiny::column( - 8, + width = 8, shiny::fileInput("inp", "Upload your DEA results or DeeDee objects", multiple = TRUE, accept = c(".rds", ".txt", ".xlsx"), @@ -58,7 +55,7 @@ ddedde_app <- function(dde = NULL) { shiny::tableOutput("inp_infobox") ), shiny::column( - 4, + width = 4, shiny::selectInput("organism", "Organism", choices = list( "Human" = "org.Hs.eg.db", @@ -98,7 +95,7 @@ ddedde_app <- function(dde = NULL) { "Scatterplot", shiny::fluidRow( shiny::column( - 4, + width = 4, shiny::uiOutput("scatter_choices1"), shiny::uiOutput("scatter_choices2"), shiny::selectInput("scatter_color_by", "Color by", @@ -114,7 +111,7 @@ ddedde_app <- function(dde = NULL) { shiny::actionButton("ora_button", "Over-representation analysis") ), shiny::column( - 8, + width = 8, shinycssloaders::withSpinner( shiny::plotOutput("scatter", # dblclick = "scatter_dblclick", @@ -160,7 +157,7 @@ ddedde_app <- function(dde = NULL) { id = "heatmap", shiny::fluidRow( shiny::column( - 4, + width = 4, shiny::numericInput("heatmap_show_first", "Show first", value = 25, @@ -198,7 +195,7 @@ ddedde_app <- function(dde = NULL) { shiny::actionButton("heatmap_action", "Create heatmap") ), shiny::column( - 8, + width = 8, shiny::textOutput("heatmap_errors"), shiny::conditionalPanel( "output.heatmap_errors == ''", @@ -226,7 +223,7 @@ ddedde_app <- function(dde = NULL) { "Venn Diagram", shiny::fluidRow( shiny::column( - 4, + width = 4, shiny::selectInput("venn_mode", "Mode", choices = list( "Up" = "up", @@ -240,7 +237,7 @@ ddedde_app <- function(dde = NULL) { ) ), shiny::column( - 8, + width = 8, shinycssloaders::withSpinner( shiny::plotOutput("venn") ) @@ -263,7 +260,7 @@ ddedde_app <- function(dde = NULL) { "UpSet Plot", shiny::fluidRow( shiny::column( - 4, + width = 4, shiny::selectInput("upset_mode", "Mode", choices = list( "Up" = "up", @@ -288,7 +285,7 @@ ddedde_app <- function(dde = NULL) { ) ), shiny::column( - 8, + width = 8, shinycssloaders::withSpinner( shiny::plotOutput("upset") ) @@ -311,7 +308,7 @@ ddedde_app <- function(dde = NULL) { "Quantile-Quantile Plot", shiny::fluidRow( shiny::column( - 4, + width = 4, shiny::checkboxInput("qq_multiple", "Multiple", value = FALSE), shiny::conditionalPanel( condition = "!input.qq_multiple", @@ -335,7 +332,7 @@ ddedde_app <- function(dde = NULL) { ) ), shiny::column( - 8, + width = 8, shiny::conditionalPanel( condition = "!input.qq_multiple", shinycssloaders::withSpinner( @@ -377,7 +374,7 @@ ddedde_app <- function(dde = NULL) { "Concordance At the Top Plot", shiny::fluidRow( shiny::column( - 4, + width = 4, shiny::selectInput("cat_mode", "Mode", choices = list( "Up" = "up", @@ -397,7 +394,7 @@ ddedde_app <- function(dde = NULL) { ) ), shiny::column( - 8, + width = 8, shinycssloaders::withSpinner( shiny::plotOutput("cat") ) From e50085e0913bdc4aee3a2fee4fd05b8295ef5b6d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 17:41:18 +0100 Subject: [PATCH 068/182] explicitly labeling parameters of most ui elements --- R/DeeDee-app.R | 561 +++++++++++++++++++++++++++---------------------- 1 file changed, 315 insertions(+), 246 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 2999289..2b19fd8 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -43,26 +43,30 @@ ddedde_app <- function(dde = NULL) { # data input -------------------------------------------------------------- shiny::tabPanel( - "Input", + title = "Input", shiny::fluidRow( shiny::column( width = 8, - shiny::fileInput("inp", "Upload your DEA results or DeeDee objects", - multiple = TRUE, - accept = c(".rds", ".txt", ".xlsx"), - placeholder = "No files selected" + shiny::fileInput( + inputId = "inp", + label = "Upload your DEA results or DeeDee objects", + multiple = TRUE, + accept = c(".rds", ".txt", ".xlsx"), + placeholder = "No files selected" ), shiny::tableOutput("inp_infobox") ), shiny::column( width = 4, - shiny::selectInput("organism", "Organism", - choices = list( - "Human" = "org.Hs.eg.db", - "Mouse" = "org.Mm.eg.db", - "Fly" = "org.Dm.eg.db", - "Rat" = "org.Rn.eg.db" - ) + shiny::selectInput( + inputId = "organism", + label = "Organism", + choices = list( + "Human" = "org.Hs.eg.db", + "Mouse" = "org.Mm.eg.db", + "Fly" = "org.Dm.eg.db", + "Rat" = "org.Rn.eg.db" + ) ), shiny::uiOutput("key_inp"), shiny::uiOutput("datasets"), @@ -76,12 +80,12 @@ ddedde_app <- function(dde = NULL) { ) ), shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "input.md", - package = "DeeDee" - )), - style = "primary" + shinyBS::bsCollapsePanel( + title = "INFO", + shiny::includeMarkdown( + system.file("extdata", "input.md", package = "DeeDee") + ), + style = "primary" ) ), @@ -89,47 +93,54 @@ ddedde_app <- function(dde = NULL) { # "Download DeeDee Package vignette (.html)") ), - # ------------------------------- scatter ---------------------------------- shiny::tabPanel( - "Scatterplot", + title = "Scatterplot", shiny::fluidRow( shiny::column( width = 4, shiny::uiOutput("scatter_choices1"), shiny::uiOutput("scatter_choices2"), - shiny::selectInput("scatter_color_by", "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" + shiny::selectInput( + inputId = "scatter_color_by", + label = "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" ), - shiny::numericInput("scatter_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 + shiny::numericInput( + inputId = "scatter_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 ), - shiny::actionButton("ora_button", "Over-representation analysis") + shiny::actionButton( + inputId = "ora_button", + label = "Over-representation analysis" + ) ), shiny::column( width = 8, shinycssloaders::withSpinner( - shiny::plotOutput("scatter", - # dblclick = "scatter_dblclick", - brush = shiny::brushOpts( - id = "scatter_brush", - resetOnNew = FALSE - ) + shiny::plotOutput( + outputId = "scatter", + # dblclick = "scatter_dblclick", + brush = shiny::brushOpts( + id = "scatter_brush", + resetOnNew = FALSE + ) ) ) ) ), shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "scatter.md", - package = "DeeDee" - )), - style = "primary" + shinyBS::bsCollapsePanel( + title = "INFO", + shiny::includeMarkdown( + system.file("extdata", "scatter.md", package = "DeeDee") + ), + style = "primary" ) ), shinyBS::bsModal( @@ -137,15 +148,17 @@ ddedde_app <- function(dde = NULL) { title = "Gene Ontology over-representation analysis", trigger = "ora_button", size = "large", - shinycssloaders::withSpinner(shiny::plotOutput("scatter_ora")), + shinycssloaders::withSpinner( + shiny::plotOutput("scatter_ora") + ), shiny::downloadButton( - "ora_download", - "Download enrichment result object (.RDS)" + outputId = "ora_download", + label = "Download enrichment result object (.RDS)" ) ), shiny::downloadButton( - "scatter_brush_download", - "Download brushed genes (.xlsx)" + outputId = "scatter_brush_download", + label = "Download brushed genes (.xlsx)" ), shiny::tableOutput("scatter_brush_info") ), @@ -153,46 +166,57 @@ ddedde_app <- function(dde = NULL) { # ------------------------------- heatmap ---------------------------------- shiny::tabPanel( - "Heatmap", + title = "Heatmap", id = "heatmap", shiny::fluidRow( shiny::column( width = 4, - shiny::numericInput("heatmap_show_first", - "Show first", - value = 25, - min = 1 + shiny::numericInput( + inputId = "heatmap_show_first", + label = "Show first", + value = 25, + min = 1 ), - shiny::checkboxInput("heatmap_show_gene_names", - "Show gene names", - value = FALSE + shiny::checkboxInput( + inputId = "heatmap_show_gene_names", + label = "Show gene names", + value = FALSE ), - shiny::checkboxInput("heatmap_showNA", - "Show NA", - value = FALSE + shiny::checkboxInput( + inputId = "heatmap_showNA", + label = "Show NA", + value = FALSE ), - shiny::selectInput("heatmap_dist", "Distance measure", - choices = list( - "Euclidean" = "euclidean", - "Manhattan" = "manhattan", - "Pearson" = "pearson", - "Spearman" = "spearman" - ), - selected = "euclidean" + shiny::selectInput( + inputId = "heatmap_dist", + label = "Distance measure", + choices = list( + "Euclidean" = "euclidean", + "Manhattan" = "manhattan", + "Pearson" = "pearson", + "Spearman" = "spearman" + ), + selected = "euclidean" ), - shiny::selectInput("heatmap_clust", "Clustering method", - choices = list( - "Single" = "single", - "Complete" = "complete", - "Average" = "average", - "Centroid" = "centroid" - ), - selected = "average" + shiny::selectInput( + inputId = "heatmap_clust", + label = "Clustering method", + choices = list( + "Single" = "single", + "Complete" = "complete", + "Average" = "average", + "Centroid" = "centroid" + ), + selected = "average" ), - shiny::numericInput("heatmap_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 + shiny::numericInput( + inputId = "heatmap_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 ), - shiny::actionButton("heatmap_action", "Create heatmap") + shiny::actionButton( + inputId = "heatmap_action", + label = "Create heatmap") ), shiny::column( width = 8, @@ -200,40 +224,42 @@ ddedde_app <- function(dde = NULL) { shiny::conditionalPanel( "output.heatmap_errors == ''", shinycssloaders::withSpinner( - InteractiveComplexHeatmap:: - InteractiveComplexHeatmapOutput() + InteractiveComplexHeatmap::InteractiveComplexHeatmapOutput() ) ) ) ), shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "heatmap.md", - package = "DeeDee" - )), - style = "primary" + shinyBS::bsCollapsePanel( + title = "INFO", + shiny::includeMarkdown( + system.file("extdata", "heatmap.md",package = "DeeDee") + ), + style = "primary" ) ) ), - # -------------------------------- venn ------------------------------------ shiny::tabPanel( - "Venn Diagram", + title = "Venn Diagram", shiny::fluidRow( shiny::column( width = 4, - shiny::selectInput("venn_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" + shiny::selectInput( + inputId = "venn_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" ), - shiny::numericInput("venn_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 + shiny::numericInput( + inputId = "venn_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 ) ), shiny::column( @@ -244,12 +270,12 @@ ddedde_app <- function(dde = NULL) { ) ), shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "venn.md", - package = "DeeDee" - )), - style = "primary" + shinyBS::bsCollapsePanel( + title = "INFO", + shiny::includeMarkdown( + system.file("extdata", "venn.md", package = "DeeDee") + ), + style = "primary" ) ) ), @@ -257,31 +283,37 @@ ddedde_app <- function(dde = NULL) { # -------------------------------- upSet ----------------------------------- shiny::tabPanel( - "UpSet Plot", + title = "UpSet Plot", shiny::fluidRow( shiny::column( width = 4, - shiny::selectInput("upset_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" + shiny::selectInput( + inputId = "upset_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" ), shiny::conditionalPanel( condition = "input.upset_mode == 'both'", shiny::checkboxInput( - "upset_colored", - "Coloring", - TRUE + inputId = "upset_colored", + label = "Coloring", + value = TRUE ) ), - shiny::numericInput("upset_minset", "Minimum set size", - value = 10, min = 0, step = 1 + shiny::numericInput( + inputId = "upset_minset", + label = "Minimum set size", + value = 10, min = 0, step = 1 ), - shiny::numericInput("upset_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 + shiny::numericInput( + inputId = "upset_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 ) ), shiny::column( @@ -292,12 +324,12 @@ ddedde_app <- function(dde = NULL) { ) ), shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "upset.md", - package = "DeeDee" - )), - style = "primary" + shinyBS::bsCollapsePanel( + title = "INFO", + shiny::includeMarkdown( + system.file("extdata", "upset.md", package = "DeeDee") + ), + style = "primary" ) ) ), @@ -305,21 +337,27 @@ ddedde_app <- function(dde = NULL) { # --------------------------------- qq ------------------------------------- shiny::tabPanel( - "Quantile-Quantile Plot", + title = "Quantile-Quantile Plot", shiny::fluidRow( shiny::column( width = 4, - shiny::checkboxInput("qq_multiple", "Multiple", value = FALSE), + shiny::checkboxInput( + inputId = "qq_multiple", + label = "Multiple", + value = FALSE + ), shiny::conditionalPanel( condition = "!input.qq_multiple", shiny::uiOutput("qq_choices1"), shiny::uiOutput("qq_choices2"), - shiny::selectInput("qq_color_by", "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" + shiny::selectInput( + inputId = "qq_color_by", + label = "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" ), shiny::checkboxInput("qq_line", "As line", value = FALSE) ), @@ -327,8 +365,10 @@ ddedde_app <- function(dde = NULL) { condition = "input.qq_multiple", shiny::uiOutput("qq_ref"), ), - shiny::numericInput("qq_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 + shiny::numericInput( + inputId = "qq_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 ) ), shiny::column( @@ -350,19 +390,19 @@ ddedde_app <- function(dde = NULL) { ) ), shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "qq.md", - package = "DeeDee" - )), - style = "primary" + shinyBS::bsCollapsePanel( + title = "INFO", + shiny::includeMarkdown( + system.file("extdata", "qq.md", package = "DeeDee") + ), + style = "primary" ) ), shiny::conditionalPanel( condition = "!input.qq_multiple", shiny::downloadButton( - "qq_brush_download", - "Download brushed genes (.xlsx)" + outputId = "qq_brush_download", + label = "Download brushed genes (.xlsx)" ), shiny::tableOutput("qq_brush_info") ) @@ -371,26 +411,31 @@ ddedde_app <- function(dde = NULL) { # --------------------------------- cat ------------------------------------ shiny::tabPanel( - "Concordance At the Top Plot", + title = "Concordance At the Top Plot", shiny::fluidRow( shiny::column( width = 4, - shiny::selectInput("cat_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "up" + shiny::selectInput( + inputId = "cat_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "up" ), - shiny::numericInput("cat_maxrank", - "Max rank", - value = 1000, - min = 1 + shiny::numericInput( + inputId = "cat_maxrank", + label = "Max rank", + value = 1000, + min = 1 ), shiny::uiOutput("cat_choice"), - shiny::numericInput("cat_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 + shiny::numericInput( + inputId = "cat_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 ) ), shiny::column( @@ -401,23 +446,28 @@ ddedde_app <- function(dde = NULL) { ) ), shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "cat.md", - package = "DeeDee" - )), - style = "primary" + shinyBS::bsCollapsePanel( + title = "INFO", + shiny::includeMarkdown( + system.file("extdata", "cat.md", package = "DeeDee") + ), + style = "primary" ) ) ), # ------------------------------- summary ---------------------------------- shiny::tabPanel( - "Summary", - shiny::numericInput("sum_pthresh", "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 + title = "Summary", + shiny::numericInput( + inputId = "sum_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ), + shiny::actionButton( + inputId = "sum_button", + label = "Create Summary" ), - shiny::actionButton("sum_button", "Create Summary"), shinyBS::bsModal( id = "sum_modal", title = "DeeDee Summary", @@ -425,10 +475,12 @@ ddedde_app <- function(dde = NULL) { size = "large", shiny::fluidPage( shiny::downloadButton( - "sum_download", - "Download your DeeDee Summary (.html)" + outputId = "sum_download", + label = "Download your DeeDee Summary (.html)" ), - shinycssloaders::withSpinner(shiny::uiOutput("show_html_summary")) + shinycssloaders::withSpinner( + shiny::uiOutput("show_html_summary") + ) ) ), shiny::fluidRow( @@ -440,111 +492,129 @@ ddedde_app <- function(dde = NULL) { "Scatterplot", shiny::uiOutput("sum_scatter_choices1"), shiny::uiOutput("sum_scatter_choices2"), - shiny::selectInput("sum_scatter_color_by", "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" + shiny::selectInput( + inputId = "sum_scatter_color_by", + label = "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" ) ), shiny::tabPanel( - "Heatmap", - shiny::numericInput("sum_heatmap_show_first", - "Show first", - value = 25, - min = 1 + title = "Heatmap", + shiny::numericInput( + inputId = "sum_heatmap_show_first", + label = "Show first", + value = 25, + min = 1 ), - shiny::checkboxInput("sum_heatmap_show_gene_names", - "Show gene names", - value = FALSE + shiny::checkboxInput( + inputId = "sum_heatmap_show_gene_names", + label = "Show gene names", + value = FALSE ), - shiny::checkboxInput("sum_heatmap_show_na", - "Show NA", - value = FALSE + shiny::checkboxInput( + inputId = "sum_heatmap_show_na", + label = "Show NA", + value = FALSE ), - shiny::selectInput("sum_heatmap_dist", "Distance measure", - choices = list( - "Euclidean" = "euclidean", - "Manhattan" = "manhattan", - "Pearson" = "pearson", - "Spearman" = "spearman" - ), - selected = "euclidean" + shiny::selectInput( + inputId = "sum_heatmap_dist", + label = "Distance measure", + choices = list( + "Euclidean" = "euclidean", + "Manhattan" = "manhattan", + "Pearson" = "pearson", + "Spearman" = "spearman" + ), + selected = "euclidean" ), - shiny::selectInput("sum_heatmap_clust", "Clustering method", - choices = list( - "Single" = "single", - "Complete" = "complete", - "Average" = "average", - "Centroid" = "centroid" - ), - selected = "average" + shiny::selectInput( + inputId = "sum_heatmap_clust", + label = "Clustering method", + choices = list( + "Single" = "single", + "Complete" = "complete", + "Average" = "average", + "Centroid" = "centroid" + ), + selected = "average" ) ), shiny::tabPanel( - "Venn Diagram", - shiny::selectInput("sum_venn_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" + title = "Venn Diagram", + shiny::selectInput( + inputId = "sum_venn_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" ) ), shiny::tabPanel( - "UpSet Plot", - shiny::selectInput("sum_upset_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" + title = "UpSet Plot", + shiny::selectInput( + inputId = "sum_upset_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" ), shiny::conditionalPanel( condition = "input.sum_upset_mode == 'both'", shiny::checkboxInput( - "sum_upset_colored", - "Coloring", - TRUE + inputId = "sum_upset_colored", + label = "Coloring", + value = TRUE ) ), - shiny::numericInput("sum_upset_min_setsize", "Minimum set size", - value = 10, min = 0, step = 1 + shiny::numericInput( + inputId = "sum_upset_min_setsize", + label = "Minimum set size", + value = 10, min = 0, step = 1 ) ), shiny::tabPanel( - "Quantile-Quantile Plot", + title = "Quantile-Quantile Plot", shiny::uiOutput("sum_qq_ref"), ), shiny::tabPanel( - "Concordance At the Top Plot", - shiny::selectInput("sum_cat_mode", "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "up" + title = "Concordance At the Top Plot", + shiny::selectInput( + inputId = "sum_cat_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "up" ), - shiny::numericInput("sum_cat_maxrank", - "Max rank", - value = 1000, - min = 1 + shiny::numericInput( + inputId = "sum_cat_maxrank", + label = "Max rank", + value = 1000, + min = 1 ), shiny::uiOutput("sum_cat_choice") ) ) ), shinyBS::bsCollapse( - shinyBS::bsCollapsePanel("INFO", - shiny::includeMarkdown(system.file("extdata", - "summary.md", - package = "DeeDee" - )), - style = "primary" + shinyBS::bsCollapsePanel( + title = "INFO", + shiny::includeMarkdown( + system.file("extdata", "summary.md", package = "DeeDee") + ), + style = "primary" ) ) ) @@ -552,10 +622,8 @@ ddedde_app <- function(dde = NULL) { - # ---------------------------------------------------------------------------- - # ----------------------------- S E R V E R ---------------------------------- - # ---------------------------------------------------------------------------- + # server definition ------------------------------------------------------- deedee_server <- function(input, output, session) { # ----------------------------- data input --------------------------------- @@ -563,9 +631,10 @@ ddedde_app <- function(dde = NULL) { shiny::req(input$organism) anno <- input$organism require(anno, character.only = TRUE) - shiny::selectInput("key_type", - "Key type of gene IDs", - choices = keytypes(get(anno)) + shiny::selectInput( + inputId = "key_type", + label = "Key type of gene IDs", + choices = keytypes(get(anno)) ) }) From 1af45c03cb62439d45c5f6f74fa5c0fa33368400 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 17:57:39 +0100 Subject: [PATCH 069/182] first edits server side done, app works with old params and objects --- R/DeeDee-app.R | 378 +++++++++++++++++++++++++++++-------------------- 1 file changed, 223 insertions(+), 155 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 2b19fd8..6cebed0 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -4,7 +4,7 @@ #' the functionalities of all other DeeDee functions with a user-friendly #' graphical user interface. #' -#' @param dde An object of the class DeeDeeExperiment to be analyzed. +#' @param deedee_obj An object of the class DeeDeeExperiment to be analyzed. #' #' @return A shiny app #' @export @@ -32,7 +32,7 @@ #' # deedee_app(dd_list) #' # ddedde_app(dde) #' } -ddedde_app <- function(dde = NULL) { +ddedde_app <- function(deedee_obj = NULL) { # UI definition ----------------------------------------------------------- @@ -662,13 +662,15 @@ ddedde_app <- function(dde = NULL) { for (i in (length(ext) + 1):(length(input$inp[, 1]) + length(ext))) { k <- k + 1 ext[i] <- tools::file_ext(input$inp[k, "datapath"]) - shiny::validate(shiny::need( - ext[[i]] == "rds" || - ext[[i]] == "RDS" || - ext[[i]] == "xlsx" || - ext[[i]] == "txt", - "Please upload only .RDS, .xlsx or .txt files" - )) + shiny::validate( + shiny::need( + ext[[i]] == "rds" || + ext[[i]] == "RDS" || + ext[[i]] == "xlsx" || + ext[[i]] == "txt", + "Please upload only .RDS, .xlsx or .txt files" + ) + ) # .RDS input if (ext[[i]] == "rds" || ext[[i]] == "RDS") { @@ -687,10 +689,8 @@ ddedde_app <- function(dde = NULL) { } else if (ext[[i]] == "txt") { temp <- utils::read.table(input$inp[[k, "datapath"]]) res[[i]] <- list(temp) - names(res[[i]]) <- unlist(strsplit(input$inp[k, "name"], - split = ".", - fixed = TRUE - ))[1] + names(res[[i]]) <- + unlist(strsplit(input$inp[k, "name"], split = ".", fixed = TRUE))[1] } else { return(NULL) } @@ -712,11 +712,14 @@ ddedde_app <- function(dde = NULL) { }) output$datasets <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::checkboxGroupInput("select_datasets", - "Select datasets to be used", - choices = names(mydata()@DeeDeeList), - selected = names(mydata()@DeeDeeList) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) + shiny::checkboxGroupInput( + inputId = "select_datasets", + label = "Select datasets to be used", + choices = names(mydata()@DeeDeeList), + selected = names(mydata()@DeeDeeList) ) }) @@ -747,9 +750,11 @@ ddedde_app <- function(dde = NULL) { shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - input_infobox(deedee_obj = deedee_obj, - sets = input$inp, - md = mydata()) + input_infobox( + deedee_obj = deedee_obj, + sets = input$inp, + md = mydata() + ) }) @@ -757,23 +762,28 @@ ddedde_app <- function(dde = NULL) { # --- selectors --- output$scatter_choices1 <- shiny::renderUI({ shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("scatter_select1", - "1st data set", - choices = names(mydata_use()) + shiny::selectInput( + inputId = "scatter_select1", + label = "1st data set", + choices = names(mydata_use()) ) }) output$scatter_choices2 <- shiny::renderUI({ shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("scatter_select2", - "2nd data set", - selected = names(mydata_use())[2], - choices = names(mydata_use()) + shiny::selectInput( + inputId = "scatter_select2", + label = "2nd data set", + selected = names(mydata_use())[2], + choices = names(mydata_use()) ) }) # --- plot output --- - ranges <- shiny::reactiveValues(x = NULL, y = NULL) + ranges <- shiny::reactiveValues( + x = NULL, + y = NULL + ) output$scatter <- shiny::renderPlot({ shiny::validate( @@ -793,12 +803,14 @@ ddedde_app <- function(dde = NULL) { sel2 <- match(input$scatter_select2, names(mydata_use())) shiny::req(sel1) shiny::req(sel2) - res <- deedee_scatter(mydata_use(), - select1 = sel1, - select2 = sel2, - color_by = input$scatter_color_by, - pthresh = input$scatter_pthresh + res <- deedee_scatter( + mydata_use(), + select1 = sel1, + select2 = sel2, + color_by = input$scatter_color_by, + pthresh = input$scatter_pthresh ) + shiny::validate( shiny::need(!is.null(res), "No common genes in input datasets.") ) @@ -831,10 +843,11 @@ ddedde_app <- function(dde = NULL) { paste(input$scatter_select2, ".logFC", sep = ""), paste(input$scatter_select2, ".pval", sep = "") ) - shiny::brushedPoints(df, - input$scatter_brush, - xvar = paste(input$scatter_select1, ".logFC", sep = ""), - yvar = paste(input$scatter_select2, ".logFC", sep = "") + shiny::brushedPoints( + df, + input$scatter_brush, + xvar = paste(input$scatter_select1, ".logFC", sep = ""), + yvar = paste(input$scatter_select2, ".logFC", sep = "") ) }) @@ -871,47 +884,62 @@ ddedde_app <- function(dde = NULL) { # --- enrich --- enrich <- shiny::reactive({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::validate(shiny::need( - scatter_brushed(), - "No brushed genes." - )) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) + shiny::validate( + shiny::need( + scatter_brushed(), + "No brushed genes." + ) + ) + sel1 <- match(input$scatter_select1, names(mydata_use())) sel2 <- match(input$scatter_select2, names(mydata_use())) shiny::req(sel1) shiny::req(sel2) data <- list(mydata_use()[[sel1]], mydata_use()[[sel2]]) + res <- ora( geneList = scatter_brushed(), universe = data, orgDB = input$organism, key_type = input$key_type ) - shiny::validate(shiny::need( - class(res) == "enrichResult", - "Not working." - )) + shiny::validate( + shiny::need( + class(res) == "enrichResult", + "Not working." + ) + ) return(res) }) output$scatter_ora <- shiny::renderPlot({ - shiny::validate(shiny::need( - !is.null(enrich()), - "Something went wrong..." - )) + shiny::validate( + shiny::need( + !is.null(enrich()), + "Something went wrong..." + ) + ) en <- enrich() en_df <- as.data.frame(en) - shiny::validate(shiny::need( - nrow(en_df) > 0, - "No enriched terms found." - )) + shiny::validate( + shiny::need( + nrow(en_df) > 0, + "No enriched terms found." + ) + ) + options(ggrepel.max.overlaps = Inf) plt <- enrichplot::emapplot(enrichplot::pairwise_termsim(en)) - shiny::validate(shiny::need( - !is.null(plt), - "No enriched terms found." - )) + shiny::validate( + shiny::need( + !is.null(plt), + "No enriched terms found." + ) + ) print(plt) }) @@ -947,16 +975,19 @@ ddedde_app <- function(dde = NULL) { }) heatmap_output <- shiny::reactive({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) shiny::req(input$heatmap_show_first) shiny::req(mydata_use()) - res <- deedee_heatmap(mydata_use(), - show_first = input$heatmap_show_first, - show_gene_names = input$heatmap_show_gene_names, - dist = input$heatmap_dist, - clust = input$heatmap_clust, - pthresh = input$heatmap_pthresh, - show_na = input$heatmap_showNA + res <- deedee_heatmap( + mydata_use(), + show_first = input$heatmap_show_first, + show_gene_names = input$heatmap_show_gene_names, + dist = input$heatmap_dist, + clust = input$heatmap_clust, + pthresh = input$heatmap_pthresh, + show_na = input$heatmap_showNA ) shiny::validate( shiny::need(!is.null(res), "No common genes in input datasets.") @@ -988,23 +1019,25 @@ ddedde_app <- function(dde = NULL) { shiny::observeEvent(input$tabs, { if (input$tabs == "Heatmap") { if (global$notify == TRUE) { - shiny::showNotification("Something changed. Click 'Create heatmap' to reload.", - duration = NULL, - type = "warning", - id = "heatmap_warning" + shiny::showNotification( + ui = "Something changed. Click 'Create heatmap' to reload.", + duration = NULL, + type = "warning", + id = "heatmap_warning" ) } } else { - shiny::removeNotification("heatmap_warning") + shiny::removeNotification(id = "heatmap_warning") } }) shiny::observeEvent(listen(), { req(input$tabs == "Heatmap") - shiny::showNotification("Something changed. Click 'Create heatmap' to reload.", - duration = NULL, - type = "warning", - id = "heatmap_warning" + shiny::showNotification( + ui = "Something changed. Click 'Create heatmap' to reload.", + duration = NULL, + type = "warning", + id = "heatmap_warning" ) }) @@ -1092,27 +1125,36 @@ ddedde_app <- function(dde = NULL) { # --------------------------------- qq ------------------------------------- output$qq_choices1 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("qq_select1", - "1st data set", - choices = names(mydata_use()) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) + shiny::selectInput( + inputId = "qq_select1", + label = "1st data set", + choices = names(mydata_use()) ) }) output$qq_choices2 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("qq_select2", - "2nd data set", - selected = names(mydata_use())[2], - choices = names(mydata_use()) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) + shiny::selectInput( + inputId = "qq_select2", + label = "2nd data set", + selected = names(mydata_use())[2], + choices = names(mydata_use()) ) }) output$qq_ref <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("qq_reference", - "Reference", - choices = names(mydata_use()) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) + shiny::selectInput( + inputId = "qq_reference", + label = "Reference", + choices = names(mydata_use()) ) }) @@ -1130,17 +1172,20 @@ ddedde_app <- function(dde = NULL) { ) ) - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) sel1 <- match(input$qq_select1, names(mydata_use())) sel2 <- match(input$qq_select2, names(mydata_use())) shiny::req(sel1) shiny::req(sel2) - res <- deedee_qq(mydata_use(), - select1 = sel1, - select2 = sel2, - color_by = input$qq_color_by, - pthresh = input$qq_pthresh, - as_line = input$qq_line + res <- deedee_qq( + mydata_use(), + select1 = sel1, + select2 = sel2, + color_by = input$qq_color_by, + pthresh = input$qq_pthresh, + as_line = input$qq_line ) shiny::validate( @@ -1167,12 +1212,15 @@ ddedde_app <- function(dde = NULL) { ) ) - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) ref <- match(input$qq_reference, names(mydata_use())) shiny::req(ref) - res <- deedee_qqmult(mydata_use(), - ref = ref, - pthresh = input$qq_pthresh + res <- deedee_qqmult( + mydata_use(), + ref = ref, + pthresh = input$qq_pthresh ) shiny::validate( @@ -1236,10 +1284,11 @@ ddedde_app <- function(dde = NULL) { temp1 <- paste(input$qq_select1, "logFC", sep = ".") temp2 <- paste(input$qq_select2, "logFC", sep = ".") - shiny::brushedPoints(qq, - input$qq_brush, - xvar = temp1, - yvar = temp2 + shiny::brushedPoints( + df = qq, + brush = input$qq_brush, + xvar = temp1, + yvar = temp2 ) }) @@ -1277,11 +1326,14 @@ ddedde_app <- function(dde = NULL) { # --------------------------------- cat ------------------------------------ output$cat_choice <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("cat_ref", - "Reference contrast", - selected = names(mydata_use())[1], - choices = names(mydata_use()) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) + shiny::selectInput( + inputId = "cat_ref", + label = "Reference contrast", + selected = names(mydata_use())[1], + choices = names(mydata_use()) ) }) @@ -1299,16 +1351,19 @@ ddedde_app <- function(dde = NULL) { ) ) - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) shiny::req(input$cat_maxrank) shiny::req(input$cat_ref) ref <- match(input$cat_ref, names(mydata_use())) - res <- deedee_cat(mydata_use(), - ref = ref, - maxrank = input$cat_maxrank, - mode = input$cat_mode, - pthresh = input$cat_pthresh + res <- deedee_cat( + mydata_use(), + ref = ref, + maxrank = input$cat_maxrank, + mode = input$cat_mode, + pthresh = input$cat_pthresh ) shiny::validate( @@ -1323,37 +1378,49 @@ ddedde_app <- function(dde = NULL) { # ------------------------------- summary ---------------------------------- output$sum_scatter_choices1 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("sum_scatter_select1", - "1st data set", - choices = names(mydata_use()) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) + shiny::selectInput( + inputId = "sum_scatter_select1", + label = "1st data set", + choices = names(mydata_use()) ) }) output$sum_scatter_choices2 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("sum_scatter_select2", - "2nd data set", - selected = names(mydata_use())[2], - choices = names(mydata_use()) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) + shiny::selectInput( + inputId = "sum_scatter_select2", + label = "2nd data set", + selected = names(mydata_use())[2], + choices = names(mydata_use()) ) }) output$sum_qq_ref <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("sum_qqmult_ref", - "Reference", - selected = names(mydata_use())[1], - choices = names(mydata_use()) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) + shiny::selectInput( + inputId = "sum_qqmult_ref", + label = "Reference", + selected = names(mydata_use())[1], + choices = names(mydata_use()) ) }) output$sum_cat_choice <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - shiny::selectInput("sum_cat_ref", - "Reference contrast", - selected = names(mydata_use())[1], - choices = names(mydata_use()) + shiny::req( + shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + ) + shiny::selectInput( + inputId = "sum_cat_ref", + label = "Reference contrast", + selected = names(mydata_use())[1], + choices = names(mydata_use()) ) }) @@ -1405,27 +1472,28 @@ ddedde_app <- function(dde = NULL) { shiny::req(qq_ref) shiny::req(cat_ref) - deedee_summary(mydata_use(), - output_path = outfile, - overwrite = TRUE, - pthresh = input$sum_pthresh, - scatter_select1 = sc_sel1, - scatter_select2 = sc_sel2, - scatter_color_by = input$sum_scatter_color_by, - heatmap_show_first = input$sum_heatmap_show_first, - heatmap_show_gene_names = input$sum_heatmap_show_gene_names, - heatmap_dist = input$sum_heatmap_dist, - heatmap_clust = input$sum_heatmap_clust, - heatmap_show_na = input$sum_heatmap_show_na, - venn_mode = input$sum_venn_mode, - upset_mode = ups_mode, - upset_min_setsize = input$sum_upset_min_setsize, - qqmult_ref = qq_ref, - cat_ref = cat_ref, - cat_maxrank = input$sum_cat_maxrank, - cat_mode = input$sum_cat_mode, - silent = TRUE, - open_file = FALSE + deedee_summary( + mydata_use(), + output_path = outfile, + overwrite = TRUE, + pthresh = input$sum_pthresh, + scatter_select1 = sc_sel1, + scatter_select2 = sc_sel2, + scatter_color_by = input$sum_scatter_color_by, + heatmap_show_first = input$sum_heatmap_show_first, + heatmap_show_gene_names = input$sum_heatmap_show_gene_names, + heatmap_dist = input$sum_heatmap_dist, + heatmap_clust = input$sum_heatmap_clust, + heatmap_show_na = input$sum_heatmap_show_na, + venn_mode = input$sum_venn_mode, + upset_mode = ups_mode, + upset_min_setsize = input$sum_upset_min_setsize, + qqmult_ref = qq_ref, + cat_ref = cat_ref, + cat_maxrank = input$sum_cat_maxrank, + cat_mode = input$sum_cat_mode, + silent = TRUE, + open_file = FALSE ) return(outfile) From 319e738f967cecdca4a099237dd43fb6c977eaff Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 17:58:02 +0100 Subject: [PATCH 070/182] finalized example --- R/DeeDee-app.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 6cebed0..420b4ee 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -30,7 +30,7 @@ #' #' if (interactive()) { #' # deedee_app(dd_list) -#' # ddedde_app(dde) +#' # ddedde_app(deedee_obj = DeeDeeObject(DeeDeeList = dd_list_original)) #' } ddedde_app <- function(deedee_obj = NULL) { From f59a4d388f3dab7cfca85a7f1219dff89d0b7c4c Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 19:21:57 +0100 Subject: [PATCH 071/182] massive renaming - fortifying names in context of where the UI elements are appearing --- R/DeeDee-app.R | 435 ++++++++++++++++++++++++++----------------------- 1 file changed, 229 insertions(+), 206 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 420b4ee..1023a5a 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -35,20 +35,20 @@ ddedde_app <- function(deedee_obj = NULL) { - # UI definition ----------------------------------------------------------- + # ui definition ----------------------------------------------------------- deedee_ui <- shiny::navbarPage( title = "DeeDee", id = "tabs", theme = shinythemes::shinytheme("flatly"), - # data input -------------------------------------------------------------- + # ui - data input ---------------------------------------------------------- shiny::tabPanel( title = "Input", shiny::fluidRow( shiny::column( width = 8, shiny::fileInput( - inputId = "inp", + inputId = "upload_de", label = "Upload your DEA results or DeeDee objects", multiple = TRUE, accept = c(".rds", ".txt", ".xlsx"), @@ -59,7 +59,7 @@ ddedde_app <- function(deedee_obj = NULL) { shiny::column( width = 4, shiny::selectInput( - inputId = "organism", + inputId = "in_organism", label = "Organism", choices = list( "Human" = "org.Hs.eg.db", @@ -68,12 +68,12 @@ ddedde_app <- function(deedee_obj = NULL) { "Rat" = "org.Rn.eg.db" ) ), - shiny::uiOutput("key_inp"), - shiny::uiOutput("datasets"), + shiny::uiOutput("ui_key_inp"), + shiny::uiOutput("ui_datasets"), shiny::conditionalPanel( "output.inp_infobox", shiny::downloadButton( - "inp_download", + "btn_inp_download", "Download DeeDee object (.RDS)" ) ) @@ -93,16 +93,16 @@ ddedde_app <- function(deedee_obj = NULL) { # "Download DeeDee Package vignette (.html)") ), - # ------------------------------- scatter ---------------------------------- + # ui - scatter ------------------------------------------------------------- shiny::tabPanel( title = "Scatterplot", shiny::fluidRow( shiny::column( width = 4, - shiny::uiOutput("scatter_choices1"), - shiny::uiOutput("scatter_choices2"), + shiny::uiOutput("ui_scatter_choices1"), + shiny::uiOutput("ui_scatter_choices2"), shiny::selectInput( - inputId = "scatter_color_by", + inputId = "in_scatter_color_by", label = "Color by", choices = list( "1st p-value" = "pval1", @@ -111,12 +111,12 @@ ddedde_app <- function(deedee_obj = NULL) { selected = "pval1" ), shiny::numericInput( - inputId = "scatter_pthresh", + inputId = "in_scatter_pthresh", label = "P-value threshold", value = 0.05, min = 0.01, max = 1, step = 0.01 ), shiny::actionButton( - inputId = "ora_button", + inputId = "btn_ora_button", label = "Over-representation analysis" ) ), @@ -124,7 +124,7 @@ ddedde_app <- function(deedee_obj = NULL) { width = 8, shinycssloaders::withSpinner( shiny::plotOutput( - outputId = "scatter", + outputId = "plot_deedee_scatter", # dblclick = "scatter_dblclick", brush = shiny::brushOpts( id = "scatter_brush", @@ -146,25 +146,25 @@ ddedde_app <- function(deedee_obj = NULL) { shinyBS::bsModal( id = "modalExample", title = "Gene Ontology over-representation analysis", - trigger = "ora_button", + trigger = "btn_ora_button", size = "large", shinycssloaders::withSpinner( shiny::plotOutput("scatter_ora") ), shiny::downloadButton( - outputId = "ora_download", + outputId = "btn_ora_download", label = "Download enrichment result object (.RDS)" ) ), shiny::downloadButton( - outputId = "scatter_brush_download", + outputId = "btn_scatter_brush_download", label = "Download brushed genes (.xlsx)" ), shiny::tableOutput("scatter_brush_info") ), - # ------------------------------- heatmap ---------------------------------- + # ui - heatmap ------------------------------------------------------------- shiny::tabPanel( title = "Heatmap", id = "heatmap", @@ -172,23 +172,23 @@ ddedde_app <- function(deedee_obj = NULL) { shiny::column( width = 4, shiny::numericInput( - inputId = "heatmap_show_first", + inputId = "in_heatmap_show_first", label = "Show first", value = 25, min = 1 ), shiny::checkboxInput( - inputId = "heatmap_show_gene_names", + inputId = "in_heatmap_show_gene_names", label = "Show gene names", value = FALSE ), shiny::checkboxInput( - inputId = "heatmap_showNA", + inputId = "in_heatmap_showNA", label = "Show NA", value = FALSE ), shiny::selectInput( - inputId = "heatmap_dist", + inputId = "in_heatmap_dist", label = "Distance measure", choices = list( "Euclidean" = "euclidean", @@ -199,7 +199,7 @@ ddedde_app <- function(deedee_obj = NULL) { selected = "euclidean" ), shiny::selectInput( - inputId = "heatmap_clust", + inputId = "in_heatmap_clust", label = "Clustering method", choices = list( "Single" = "single", @@ -210,12 +210,12 @@ ddedde_app <- function(deedee_obj = NULL) { selected = "average" ), shiny::numericInput( - inputId = "heatmap_pthresh", + inputId = "in_heatmap_pthresh", label = "P-value threshold", value = 0.05, min = 0.01, max = 1, step = 0.01 ), shiny::actionButton( - inputId = "heatmap_action", + inputId = "btn_heatmap_action", label = "Create heatmap") ), shiny::column( @@ -240,14 +240,14 @@ ddedde_app <- function(deedee_obj = NULL) { ) ), - # -------------------------------- venn ------------------------------------ + # ui - venn ---------------------------------------------------------------- shiny::tabPanel( title = "Venn Diagram", shiny::fluidRow( shiny::column( width = 4, shiny::selectInput( - inputId = "venn_mode", + inputId = "in_venn_mode", label = "Mode", choices = list( "Up" = "up", @@ -257,7 +257,7 @@ ddedde_app <- function(deedee_obj = NULL) { selected = "both" ), shiny::numericInput( - inputId = "venn_pthresh", + inputId = "in_venn_pthresh", label = "P-value threshold", value = 0.05, min = 0.01, max = 1, step = 0.01 ) @@ -265,7 +265,7 @@ ddedde_app <- function(deedee_obj = NULL) { shiny::column( width = 8, shinycssloaders::withSpinner( - shiny::plotOutput("venn") + shiny::plotOutput("plot_deedee_venn") ) ) ), @@ -281,14 +281,14 @@ ddedde_app <- function(deedee_obj = NULL) { ), - # -------------------------------- upSet ----------------------------------- + # ui - upset --------------------------------------------------------------- shiny::tabPanel( title = "UpSet Plot", shiny::fluidRow( shiny::column( width = 4, shiny::selectInput( - inputId = "upset_mode", + inputId = "in_upset_mode", label = "Mode", choices = list( "Up" = "up", @@ -298,20 +298,20 @@ ddedde_app <- function(deedee_obj = NULL) { selected = "both" ), shiny::conditionalPanel( - condition = "input.upset_mode == 'both'", + condition = "input.in_upset_mode == 'both'", shiny::checkboxInput( - inputId = "upset_colored", + inputId = "in_upset_colored", label = "Coloring", value = TRUE ) ), shiny::numericInput( - inputId = "upset_minset", + inputId = "in_upset_minset", label = "Minimum set size", value = 10, min = 0, step = 1 ), shiny::numericInput( - inputId = "upset_pthresh", + inputId = "in_upset_pthresh", label = "P-value threshold", value = 0.05, min = 0.01, max = 1, step = 0.01 ) @@ -319,7 +319,7 @@ ddedde_app <- function(deedee_obj = NULL) { shiny::column( width = 8, shinycssloaders::withSpinner( - shiny::plotOutput("upset") + shiny::plotOutput("plot_deedee_upset") ) ) ), @@ -335,23 +335,23 @@ ddedde_app <- function(deedee_obj = NULL) { ), - # --------------------------------- qq ------------------------------------- + # ui - qq ------------------------------------------------------------------ shiny::tabPanel( title = "Quantile-Quantile Plot", shiny::fluidRow( shiny::column( width = 4, shiny::checkboxInput( - inputId = "qq_multiple", + inputId = "in_qq_multiple", label = "Multiple", value = FALSE ), shiny::conditionalPanel( - condition = "!input.qq_multiple", - shiny::uiOutput("qq_choices1"), - shiny::uiOutput("qq_choices2"), + condition = "!input.in_qq_multiple", + shiny::uiOutput("ui_qq_choices1"), + shiny::uiOutput("ui_qq_choices2"), shiny::selectInput( - inputId = "qq_color_by", + inputId = "in_qq_color_by", label = "Color by", choices = list( "1st p-value" = "pval1", @@ -359,14 +359,17 @@ ddedde_app <- function(deedee_obj = NULL) { ), selected = "pval1" ), - shiny::checkboxInput("qq_line", "As line", value = FALSE) + shiny::checkboxInput( + inputId = "in_qq_line", + "As line", + value = FALSE) ), shiny::conditionalPanel( - condition = "input.qq_multiple", - shiny::uiOutput("qq_ref"), + condition = "input.in_qq_multiple", + shiny::uiOutput("ui_qq_ref"), ), shiny::numericInput( - inputId = "qq_pthresh", + inputId = "in_qq_pthresh", label = "P-value threshold", value = 0.05, min = 0.01, max = 1, step = 0.01 ) @@ -374,17 +377,18 @@ ddedde_app <- function(deedee_obj = NULL) { shiny::column( width = 8, shiny::conditionalPanel( - condition = "!input.qq_multiple", + condition = "!input.in_qq_multiple", shinycssloaders::withSpinner( - shiny::plotOutput("qq", - brush = "qq_brush" + shiny::plotOutput( + outputId = "plot_deedee_qq", + brush = "qq_brush" ) ) ), shiny::conditionalPanel( - condition = "input.qq_multiple", + condition = "input.in_qq_multiple", shinycssloaders::withSpinner( - shiny::plotOutput("qq_mult") + shiny::plotOutput("plot_deedee_qq_mult") ) ) ) @@ -399,9 +403,9 @@ ddedde_app <- function(deedee_obj = NULL) { ) ), shiny::conditionalPanel( - condition = "!input.qq_multiple", + condition = "!input.in_qq_multiple", shiny::downloadButton( - outputId = "qq_brush_download", + outputId = "btn_qq_brush_download", label = "Download brushed genes (.xlsx)" ), shiny::tableOutput("qq_brush_info") @@ -409,14 +413,14 @@ ddedde_app <- function(deedee_obj = NULL) { ), - # --------------------------------- cat ------------------------------------ + # ui - cat ----------------------------------------------------------------- shiny::tabPanel( title = "Concordance At the Top Plot", shiny::fluidRow( shiny::column( width = 4, shiny::selectInput( - inputId = "cat_mode", + inputId = "in_cat_mode", label = "Mode", choices = list( "Up" = "up", @@ -426,14 +430,14 @@ ddedde_app <- function(deedee_obj = NULL) { selected = "up" ), shiny::numericInput( - inputId = "cat_maxrank", + inputId = "in_cat_maxrank", label = "Max rank", value = 1000, min = 1 ), - shiny::uiOutput("cat_choice"), + shiny::uiOutput("ui_cat_choice"), shiny::numericInput( - inputId = "cat_pthresh", + inputId = "in_cat_pthresh", label = "P-value threshold", value = 0.05, min = 0.01, max = 1, step = 0.01 ) @@ -441,7 +445,7 @@ ddedde_app <- function(deedee_obj = NULL) { shiny::column( width = 8, shinycssloaders::withSpinner( - shiny::plotOutput("cat") + shiny::plotOutput("plot_deedee_cat") ) ) ), @@ -456,7 +460,7 @@ ddedde_app <- function(deedee_obj = NULL) { ) ), - # ------------------------------- summary ---------------------------------- + # ui - summary ------------------------------------------------------------- shiny::tabPanel( title = "Summary", shiny::numericInput( @@ -479,7 +483,7 @@ ddedde_app <- function(deedee_obj = NULL) { label = "Download your DeeDee Summary (.html)" ), shinycssloaders::withSpinner( - shiny::uiOutput("show_html_summary") + shiny::uiOutput("ui_show_html_summary") ) ) ), @@ -490,8 +494,8 @@ ddedde_app <- function(deedee_obj = NULL) { id = "sum_params", shiny::tabPanel( "Scatterplot", - shiny::uiOutput("sum_scatter_choices1"), - shiny::uiOutput("sum_scatter_choices2"), + shiny::uiOutput("ui_sum_scatter_choices1"), + shiny::uiOutput("ui_sum_scatter_choices2"), shiny::selectInput( inputId = "sum_scatter_color_by", label = "Color by", @@ -584,7 +588,7 @@ ddedde_app <- function(deedee_obj = NULL) { ), shiny::tabPanel( title = "Quantile-Quantile Plot", - shiny::uiOutput("sum_qq_ref"), + shiny::uiOutput("ui_sum_qq_ref"), ), shiny::tabPanel( title = "Concordance At the Top Plot", @@ -604,7 +608,7 @@ ddedde_app <- function(deedee_obj = NULL) { value = 1000, min = 1 ), - shiny::uiOutput("sum_cat_choice") + shiny::uiOutput("ui_sum_cat_choice") ) ) ), @@ -623,13 +627,13 @@ ddedde_app <- function(deedee_obj = NULL) { - # server definition ------------------------------------------------------- + # server definition ---------------------------------------------------------- deedee_server <- function(input, output, session) { - # ----------------------------- data input --------------------------------- - output$key_inp <- shiny::renderUI({ - shiny::req(input$organism) - anno <- input$organism + # server - data input ------------------------------------------------------ + output$ui_key_inp <- shiny::renderUI({ + shiny::req(input$in_organism) + anno <- input$in_organism require(anno, character.only = TRUE) shiny::selectInput( inputId = "key_type", @@ -639,7 +643,9 @@ ddedde_app <- function(deedee_obj = NULL) { }) mydata <- shiny::reactive({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::req( + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + ) ext <- c() res <- list() @@ -658,10 +664,10 @@ ddedde_app <- function(deedee_obj = NULL) { k <- 0 # reading out input files - if (length(input$inp[, 1] > 0)) { - for (i in (length(ext) + 1):(length(input$inp[, 1]) + length(ext))) { + if (length(input$upload_de[, 1] > 0)) { + for (i in (length(ext) + 1):(length(input$upload_de[, 1]) + length(ext))) { k <- k + 1 - ext[i] <- tools::file_ext(input$inp[k, "datapath"]) + ext[i] <- tools::file_ext(input$upload_de[k, "datapath"]) shiny::validate( shiny::need( ext[[i]] == "rds" || @@ -674,23 +680,23 @@ ddedde_app <- function(deedee_obj = NULL) { # .RDS input if (ext[[i]] == "rds" || ext[[i]] == "RDS") { - res[[i]] <- readRDS(input$inp[[k, "datapath"]]) + res[[i]] <- readRDS(input$upload_de[[k, "datapath"]]) res[[i]] <- rds_input(obj = res[[i]], - nm = input$inp[[k, "name"]]) + nm = input$upload_de[[k, "name"]]) # .xlsx input } else if (ext[[i]] == "xlsx") { - sheets <- readxl::excel_sheets(input$inp[[k, "datapath"]]) + sheets <- readxl::excel_sheets(input$upload_de[[k, "datapath"]]) res[[i]] <- xlsx_input(obj = sheets, - path= input$inp[[k, "datapath"]], - nm = input$inp[k, "name"]) + path= input$upload_de[[k, "datapath"]], + nm = input$upload_de[k, "name"]) # .txt input } else if (ext[[i]] == "txt") { - temp <- utils::read.table(input$inp[[k, "datapath"]]) + temp <- utils::read.table(input$upload_de[[k, "datapath"]]) res[[i]] <- list(temp) names(res[[i]]) <- - unlist(strsplit(input$inp[k, "name"], split = ".", fixed = TRUE))[1] + unlist(strsplit(input$upload_de[k, "name"], split = ".", fixed = TRUE))[1] } else { return(NULL) } @@ -711,9 +717,9 @@ ddedde_app <- function(deedee_obj = NULL) { return(obj) }) - output$datasets <- shiny::renderUI({ + output$ui_datasets <- shiny::renderUI({ shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) shiny::checkboxGroupInput( inputId = "select_datasets", @@ -724,7 +730,9 @@ ddedde_app <- function(deedee_obj = NULL) { }) mydata_use <- shiny::reactive({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::req( + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + ) use <- input$select_datasets dat2 <- list() for (i in use) { @@ -733,10 +741,12 @@ ddedde_app <- function(deedee_obj = NULL) { return(dat2) }) - output$inp_download <- shiny::downloadHandler( + output$btn_inp_download <- shiny::downloadHandler( filename = "DeeDee_object.RDS", content = function(file) { - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::req( + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + ) dl <- DeeDeeObject(DeeDeeList = mydata_use()) saveRDS(dl, file) } @@ -748,31 +758,37 @@ ddedde_app <- function(deedee_obj = NULL) { "Faulty input data provided." )) - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + shiny::req( + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + ) input_infobox( deedee_obj = deedee_obj, - sets = input$inp, + sets = input$upload_de, md = mydata() ) }) - # ------------------------------- scatter ---------------------------------- + # server - scatter --------------------------------------------------------- # --- selectors --- - output$scatter_choices1 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + output$ui_scatter_choices1 <- shiny::renderUI({ + shiny::req( + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + ) shiny::selectInput( - inputId = "scatter_select1", + inputId = "in_scatter_select1", label = "1st data set", choices = names(mydata_use()) ) }) - output$scatter_choices2 <- shiny::renderUI({ - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) + output$ui_scatter_choices2 <- shiny::renderUI({ + shiny::req( + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + ) shiny::selectInput( - inputId = "scatter_select2", + inputId = "in_scatter_select2", label = "2nd data set", selected = names(mydata_use())[2], choices = names(mydata_use()) @@ -785,7 +801,7 @@ ddedde_app <- function(deedee_obj = NULL) { y = NULL ) - output$scatter <- shiny::renderPlot({ + output$plot_deedee_scatter <- shiny::renderPlot({ shiny::validate( shiny::need( length(mydata()@DeeDeeList) >= 2, @@ -799,16 +815,16 @@ ddedde_app <- function(deedee_obj = NULL) { ) ) - sel1 <- match(input$scatter_select1, names(mydata_use())) - sel2 <- match(input$scatter_select2, names(mydata_use())) + sel1 <- match(input$in_scatter_select1, names(mydata_use())) + sel2 <- match(input$in_scatter_select2, names(mydata_use())) shiny::req(sel1) shiny::req(sel2) res <- deedee_scatter( mydata_use(), select1 = sel1, select2 = sel2, - color_by = input$scatter_color_by, - pthresh = input$scatter_pthresh + color_by = input$in_scatter_color_by, + pthresh = input$in_scatter_pthresh ) shiny::validate( @@ -825,29 +841,29 @@ ddedde_app <- function(deedee_obj = NULL) { # --- brushing --- # scatter_download_button <- shiny::renderUI( # conditionalPanel("output.scatter_brushed()", - # downloadButton("scatter_brush_download", + # downloadButton("btn_scatter_brush_download", # "Download brushed genes (.txt)"))) scatter_brushed <- shiny::reactive({ shiny::req(input$scatter_brush) df <- data.frame( - x = mydata_use()[[input$scatter_select1]], - y = mydata_use()[[input$scatter_select2]] + x = mydata_use()[[input$in_scatter_select1]], + y = mydata_use()[[input$in_scatter_select2]] ) df <- subset(df, x.pval < 0.05 & y.pval < 0.05) names(df) <- c( - paste(input$scatter_select1, ".logFC", sep = ""), - paste(input$scatter_select1, ".pval", sep = ""), - paste(input$scatter_select2, ".logFC", sep = ""), - paste(input$scatter_select2, ".pval", sep = "") + paste(input$in_scatter_select1, ".logFC", sep = ""), + paste(input$in_scatter_select1, ".pval", sep = ""), + paste(input$in_scatter_select2, ".logFC", sep = ""), + paste(input$in_scatter_select2, ".pval", sep = "") ) shiny::brushedPoints( df, input$scatter_brush, - xvar = paste(input$scatter_select1, ".logFC", sep = ""), - yvar = paste(input$scatter_select2, ".logFC", sep = "") + xvar = paste(input$in_scatter_select1, ".logFC", sep = ""), + yvar = paste(input$in_scatter_select2, ".logFC", sep = "") ) }) @@ -859,7 +875,7 @@ ddedde_app <- function(deedee_obj = NULL) { rownames = TRUE ) - output$scatter_brush_download <- shiny::downloadHandler( + output$btn_scatter_brush_download <- shiny::downloadHandler( filename = "scatter_brushed_genes.xlsx", content = function(file) { shiny::req(input$scatter_brush) @@ -885,7 +901,7 @@ ddedde_app <- function(deedee_obj = NULL) { # --- enrich --- enrich <- shiny::reactive({ shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) shiny::validate( shiny::need( @@ -894,8 +910,8 @@ ddedde_app <- function(deedee_obj = NULL) { ) ) - sel1 <- match(input$scatter_select1, names(mydata_use())) - sel2 <- match(input$scatter_select2, names(mydata_use())) + sel1 <- match(input$in_scatter_select1, names(mydata_use())) + sel2 <- match(input$in_scatter_select2, names(mydata_use())) shiny::req(sel1) shiny::req(sel2) data <- list(mydata_use()[[sel1]], mydata_use()[[sel2]]) @@ -903,7 +919,7 @@ ddedde_app <- function(deedee_obj = NULL) { res <- ora( geneList = scatter_brushed(), universe = data, - orgDB = input$organism, + orgDB = input$in_organism, key_type = input$key_type ) shiny::validate( @@ -943,7 +959,7 @@ ddedde_app <- function(deedee_obj = NULL) { print(plt) }) - output$ora_download <- shiny::downloadHandler( + output$btn_ora_download <- shiny::downloadHandler( filename = "enrichment_results.RDS", content = function(file) { shiny::req(!is.null(enrich())) @@ -951,7 +967,7 @@ ddedde_app <- function(deedee_obj = NULL) { } ) - # ------------------------------- heatmap ---------------------------------- + # server - heatmap --------------------------------------------------------- output$heatmap_errors <- shiny::renderText({ shiny::validate( shiny::need( @@ -976,18 +992,18 @@ ddedde_app <- function(deedee_obj = NULL) { heatmap_output <- shiny::reactive({ shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) - shiny::req(input$heatmap_show_first) + shiny::req(input$in_heatmap_show_first) shiny::req(mydata_use()) res <- deedee_heatmap( mydata_use(), - show_first = input$heatmap_show_first, - show_gene_names = input$heatmap_show_gene_names, - dist = input$heatmap_dist, - clust = input$heatmap_clust, - pthresh = input$heatmap_pthresh, - show_na = input$heatmap_showNA + show_first = input$in_heatmap_show_first, + show_gene_names = input$in_heatmap_show_gene_names, + dist = input$in_heatmap_dist, + clust = input$in_heatmap_clust, + pthresh = input$in_heatmap_pthresh, + show_na = input$in_heatmap_showNA ) shiny::validate( shiny::need(!is.null(res), "No common genes in input datasets.") @@ -1000,12 +1016,12 @@ ddedde_app <- function(deedee_obj = NULL) { listen <- shiny::reactive({ list( - input$heatmap_show_first, - input$heatmap_show_gene_names, - input$heatmap_dist, - input$heatmap_clust, - input$heatmap_pthresh, - input$heatmap_showNA, + input$in_heatmap_show_first, + input$in_heatmap_show_gene_names, + input$in_heatmap_dist, + input$in_heatmap_clust, + input$in_heatmap_pthresh, + input$in_heatmap_showNA, mydata_use() ) }) @@ -1041,7 +1057,7 @@ ddedde_app <- function(deedee_obj = NULL) { ) }) - shiny::observeEvent(input$heatmap_action, { + shiny::observeEvent(input$btn_heatmap_action, { shiny::req(length(mydata_use()) >= 2) global$notify <- FALSE InteractiveComplexHeatmap::makeInteractiveComplexHeatmap( @@ -1054,8 +1070,8 @@ ddedde_app <- function(deedee_obj = NULL) { }) - # -------------------------------- venn ------------------------------------ - output$venn <- shiny::renderPlot({ + # server - venn ------------------------------------------------------------ + output$plot_deedee_venn <- shiny::renderPlot({ shiny::validate( shiny::need( length(mydata()@DeeDeeList) >= 2, @@ -1069,10 +1085,13 @@ ddedde_app <- function(deedee_obj = NULL) { ) ) - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - res <- deedee_venn(mydata_use(), - mode = input$venn_mode, - pthresh = input$venn_pthresh + shiny::req( + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + ) + res <- deedee_venn( + mydata_use(), + mode = input$in_venn_mode, + pthresh = input$in_venn_pthresh ) shiny::validate( @@ -1086,8 +1105,8 @@ ddedde_app <- function(deedee_obj = NULL) { }) - # -------------------------------- upset ----------------------------------- - output$upset <- shiny::renderPlot({ + # server - upset ----------------------------------------------------------- + output$plot_deedee_upset <- shiny::renderPlot({ shiny::validate( shiny::need( length(mydata()@DeeDeeList) >= 2, @@ -1101,16 +1120,20 @@ ddedde_app <- function(deedee_obj = NULL) { ) ) - shiny::req(shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj)) - if (input$upset_mode == "both" && input$upset_colored) { + shiny::req( + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + ) + if (input$in_upset_mode == "both" && input$in_upset_colored) { mode <- "both_colored" } else { - mode <- input$upset_mode + mode <- input$in_upset_mode } - res <- deedee_upset(mydata_use(), - mode = mode, - pthresh = input$upset_pthresh, - min_setsize = input$upset_minset + + res <- deedee_upset( + mydata_use(), + mode = mode, + pthresh = input$in_upset_pthresh, + min_setsize = input$in_upset_minset ) shiny::validate( @@ -1123,42 +1146,42 @@ ddedde_app <- function(deedee_obj = NULL) { }) - # --------------------------------- qq ------------------------------------- - output$qq_choices1 <- shiny::renderUI({ + # server - qq -------------------------------------------------------------- + output$ui_qq_choices1 <- shiny::renderUI({ shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) shiny::selectInput( - inputId = "qq_select1", + inputId = "in_qq_select1", label = "1st data set", choices = names(mydata_use()) ) }) - output$qq_choices2 <- shiny::renderUI({ + output$ui_qq_choices2 <- shiny::renderUI({ shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) shiny::selectInput( - inputId = "qq_select2", + inputId = "in_qq_select2", label = "2nd data set", selected = names(mydata_use())[2], choices = names(mydata_use()) ) }) - output$qq_ref <- shiny::renderUI({ + output$ui_qq_ref <- shiny::renderUI({ shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) shiny::selectInput( - inputId = "qq_reference", + inputId = "in_qq_reference", label = "Reference", choices = names(mydata_use()) ) }) - output$qq <- shiny::renderPlot({ + output$plot_deedee_qq <- shiny::renderPlot({ shiny::validate( shiny::need( length(mydata()@DeeDeeList) >= 2, @@ -1173,19 +1196,19 @@ ddedde_app <- function(deedee_obj = NULL) { ) shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) - sel1 <- match(input$qq_select1, names(mydata_use())) - sel2 <- match(input$qq_select2, names(mydata_use())) + sel1 <- match(input$in_qq_select1, names(mydata_use())) + sel2 <- match(input$in_qq_select2, names(mydata_use())) shiny::req(sel1) shiny::req(sel2) res <- deedee_qq( mydata_use(), select1 = sel1, select2 = sel2, - color_by = input$qq_color_by, - pthresh = input$qq_pthresh, - as_line = input$qq_line + color_by = input$in_qq_color_by, + pthresh = input$in_qq_pthresh, + as_line = input$in_qq_line ) shiny::validate( @@ -1198,7 +1221,7 @@ ddedde_app <- function(deedee_obj = NULL) { res }) - output$qq_mult <- shiny::renderPlot({ + output$plot_deedee_qq_mult <- shiny::renderPlot({ shiny::validate( shiny::need( length(mydata()@DeeDeeList) >= 2, @@ -1213,14 +1236,14 @@ ddedde_app <- function(deedee_obj = NULL) { ) shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) - ref <- match(input$qq_reference, names(mydata_use())) + ref <- match(input$in_qq_reference, names(mydata_use())) shiny::req(ref) res <- deedee_qqmult( mydata_use(), ref = ref, - pthresh = input$qq_pthresh + pthresh = input$in_qq_pthresh ) shiny::validate( @@ -1235,12 +1258,12 @@ ddedde_app <- function(deedee_obj = NULL) { qq_brushed <- shiny::reactive({ shiny::req(input$qq_brush) - x <- mydata()@DeeDeeList[[input$qq_select1]]$logFC - y <- mydata()@DeeDeeList[[input$qq_select2]]$logFC - pval1 <- mydata()@DeeDeeList[[input$qq_select2]]$pval - pval2 <- mydata()@DeeDeeList[[input$qq_select2]]$pval - names(x) <- row.names(mydata()@DeeDeeList[[input$qq_select2]]) - names(y) <- row.names(mydata()@DeeDeeList[[input$qq_select2]]) + x <- mydata()@DeeDeeList[[input$in_qq_select1]]$logFC + y <- mydata()@DeeDeeList[[input$in_qq_select2]]$logFC + pval1 <- mydata()@DeeDeeList[[input$in_qq_select2]]$pval + pval2 <- mydata()@DeeDeeList[[input$in_qq_select2]]$pval + names(x) <- row.names(mydata()@DeeDeeList[[input$in_qq_select2]]) + names(y) <- row.names(mydata()@DeeDeeList[[input$in_qq_select2]]) sx_idx <- order(x) sy_idx <- order(y) @@ -1273,16 +1296,16 @@ ddedde_app <- function(deedee_obj = NULL) { ) names(qq) <- c( - paste(input$qq_select1, "gene", sep = "."), - paste(input$qq_select1, "logFC", sep = "."), - paste(input$qq_select1, "pval", sep = "."), - paste(input$qq_select2, "gene", sep = "."), - paste(input$qq_select2, "logFC", sep = "."), - paste(input$qq_select2, "pval", sep = ".") + paste(input$in_qq_select1, "gene", sep = "."), + paste(input$in_qq_select1, "logFC", sep = "."), + paste(input$in_qq_select1, "pval", sep = "."), + paste(input$in_qq_select2, "gene", sep = "."), + paste(input$in_qq_select2, "logFC", sep = "."), + paste(input$in_qq_select2, "pval", sep = ".") ) - temp1 <- paste(input$qq_select1, "logFC", sep = ".") - temp2 <- paste(input$qq_select2, "logFC", sep = ".") + temp1 <- paste(input$in_qq_select1, "logFC", sep = ".") + temp2 <- paste(input$in_qq_select2, "logFC", sep = ".") shiny::brushedPoints( df = qq, @@ -1300,7 +1323,7 @@ ddedde_app <- function(deedee_obj = NULL) { rownames = FALSE ) - output$qq_brush_download <- shiny::downloadHandler( + output$btn_qq_brush_download <- shiny::downloadHandler( filename = "qq_brushed_genes.xlsx", content = function(file) { shiny::req(input$qq_brush) @@ -1324,20 +1347,20 @@ ddedde_app <- function(deedee_obj = NULL) { ) - # --------------------------------- cat ------------------------------------ - output$cat_choice <- shiny::renderUI({ + # server - cat ------------------------------------------------------------- + output$ui_cat_choice <- shiny::renderUI({ shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) shiny::selectInput( - inputId = "cat_ref", + inputId = "in_cat_ref", label = "Reference contrast", selected = names(mydata_use())[1], choices = names(mydata_use()) ) }) - output$cat <- shiny::renderPlot({ + output$plot_deedee_cat <- shiny::renderPlot({ shiny::validate( shiny::need( length(mydata()@DeeDeeList) >= 2, @@ -1352,18 +1375,18 @@ ddedde_app <- function(deedee_obj = NULL) { ) shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) - shiny::req(input$cat_maxrank) - shiny::req(input$cat_ref) + shiny::req(input$in_cat_maxrank) + shiny::req(input$in_cat_ref) - ref <- match(input$cat_ref, names(mydata_use())) + ref <- match(input$in_cat_ref, names(mydata_use())) res <- deedee_cat( mydata_use(), ref = ref, - maxrank = input$cat_maxrank, - mode = input$cat_mode, - pthresh = input$cat_pthresh + maxrank = input$in_cat_maxrank, + mode = input$in_cat_mode, + pthresh = input$in_cat_pthresh ) shiny::validate( @@ -1376,10 +1399,10 @@ ddedde_app <- function(deedee_obj = NULL) { res }) - # ------------------------------- summary ---------------------------------- - output$sum_scatter_choices1 <- shiny::renderUI({ + # server - summary --------------------------------------------------------- + output$ui_sum_scatter_choices1 <- shiny::renderUI({ shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) shiny::selectInput( inputId = "sum_scatter_select1", @@ -1388,9 +1411,9 @@ ddedde_app <- function(deedee_obj = NULL) { ) }) - output$sum_scatter_choices2 <- shiny::renderUI({ + output$ui_sum_scatter_choices2 <- shiny::renderUI({ shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) shiny::selectInput( inputId = "sum_scatter_select2", @@ -1400,9 +1423,9 @@ ddedde_app <- function(deedee_obj = NULL) { ) }) - output$sum_qq_ref <- shiny::renderUI({ + output$ui_sum_qq_ref <- shiny::renderUI({ shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) shiny::selectInput( inputId = "sum_qqmult_ref", @@ -1412,9 +1435,9 @@ ddedde_app <- function(deedee_obj = NULL) { ) }) - output$sum_cat_choice <- shiny::renderUI({ + output$ui_sum_cat_choice <- shiny::renderUI({ shiny::req( - shiny::isTruthy(input$inp) || shiny::isTruthy(deedee_obj) + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) shiny::selectInput( inputId = "sum_cat_ref", @@ -1508,7 +1531,7 @@ ddedde_app <- function(deedee_obj = NULL) { } ) - output$show_html_summary <- shiny::renderUI({ + output$ui_show_html_summary <- shiny::renderUI({ shiny::req(summary()) out <- tempfile(fileext = ".html") @@ -1522,7 +1545,7 @@ ddedde_app <- function(deedee_obj = NULL) { } - # ------------------------------ run application ------------------------------- - shiny::shinyOptions(deedee_obj = deedee_obj) + # launch app ----------------------------------------------------------------- + # shiny::shinyOptions(deedee_obj = deedee_obj) shiny::shinyApp(ui = deedee_ui, server = deedee_server) } From 5d965d36d83ea2a68afc408b0101be687a70a03f Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 19:37:41 +0100 Subject: [PATCH 072/182] basic set of testing for the plotting functionality --- tests/testthat/test-DeeDee_plots.R | 36 ++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) create mode 100644 tests/testthat/test-DeeDee_plots.R diff --git a/tests/testthat/test-DeeDee_plots.R b/tests/testthat/test-DeeDee_plots.R new file mode 100644 index 0000000..86468c6 --- /dev/null +++ b/tests/testthat/test-DeeDee_plots.R @@ -0,0 +1,36 @@ +dde <- DeeDeeExperiment( + se_macrophage_noassays, + de_results = del +) + +test_that("plotting & plotting" { + p_scatter <- ddedde_scatter(dde) + expect_is(p_scatter, "gg") + + + p_heatmap <- ddedde_heatmap(dde) + expect_is(p_heatmap, "Heatmap") + + + p_venn <- ddedde_venn(dde) + expect_is(p_venn, "gg") + + + p_upset <- ddedde_upset(dde) + expect_is(p_upset, "gg") + + + p_cat <- ddedde_cat(dde) + expect_is(p_cat, "gg") + + + p_qq <- ddedde_qq(dde) + expect_is(p_qq, "gg") + p_qq_m <- ddedde_qqmult(dde) + expect_is(p_qq_m, "gg") + + + # ddedde_summary(dde) +}) + + From f8c3d999e9d4d60abd9c439eceaeb55888277d95 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 19:37:58 +0100 Subject: [PATCH 073/182] escaping aes_string with aes + .data pronoun --- R/DeeDee_cat.R | 2 +- R/DeeDee_qqmult.R | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/R/DeeDee_cat.R b/R/DeeDee_cat.R index a2621f5..2f8e5ce 100644 --- a/R/DeeDee_cat.R +++ b/R/DeeDee_cat.R @@ -96,7 +96,7 @@ ddedde_cat <- function(dde, res <- ggplot2::ggplot( dplyr::bind_rows(output, .id = "contrast"), - ggplot2::aes_string("rank", "concordance", colour = "contrast") + ggplot2::aes(.data$rank, .data$concordance, colour = .data$contrast) ) + ggplot2::geom_line() + ggplot2::theme_light() + diff --git a/R/DeeDee_qqmult.R b/R/DeeDee_qqmult.R index b893ed6..c7c04f7 100644 --- a/R/DeeDee_qqmult.R +++ b/R/DeeDee_qqmult.R @@ -62,7 +62,7 @@ ddedde_qqmult <- function(dde, res <- ggplot2::ggplot( dplyr::bind_rows(output, .id = "contrast"), - ggplot2::aes_string("x", "y", colour = "contrast") + ggplot2::aes(.data$x, .data$y, colour = .data$contrast) ) + ggplot2::xlab(names(dea_list)[ref]) + ggplot2::ylab("Contrasts") + From fc584794da817896eb9f2ad0ddaa923eb8b9a2c1 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 19:38:08 +0100 Subject: [PATCH 074/182] fixing test --- tests/testthat/test-DeeDee_plots.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/testthat/test-DeeDee_plots.R b/tests/testthat/test-DeeDee_plots.R index 86468c6..45d3f79 100644 --- a/tests/testthat/test-DeeDee_plots.R +++ b/tests/testthat/test-DeeDee_plots.R @@ -3,7 +3,7 @@ dde <- DeeDeeExperiment( de_results = del ) -test_that("plotting & plotting" { +test_that("plotting & plotting", { p_scatter <- ddedde_scatter(dde) expect_is(p_scatter, "gg") From 2a2d36ceeb1f1888637226ee076db48ef8d72f74 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 20:03:54 +0100 Subject: [PATCH 075/182] setup tests for running shiny app --- tests/testthat/test-DeeDee_app.R | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 tests/testthat/test-DeeDee_app.R diff --git a/tests/testthat/test-DeeDee_app.R b/tests/testthat/test-DeeDee_app.R new file mode 100644 index 0000000..870baa3 --- /dev/null +++ b/tests/testthat/test-DeeDee_app.R @@ -0,0 +1,7 @@ +test_that("shiny", { + data(dd_list_original, package = "DeeDee") + + myapp <- ddedde_app(deedee_obj = DeeDeeLegacy::DeeDeeObject(DeeDeeList = dd_list_original)) + + expect_is(myapp, "shiny.appobj") +}) From 94a81b7c8b5cf6fc2e6edc3630eefd586b3c168d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 20:04:09 +0100 Subject: [PATCH 076/182] nocov tags for the server in the app --- R/DeeDee-app.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 1023a5a..df13b38 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -628,6 +628,7 @@ ddedde_app <- function(deedee_obj = NULL) { # server definition ---------------------------------------------------------- + # nocov start deedee_server <- function(input, output, session) { # server - data input ------------------------------------------------------ @@ -1543,7 +1544,7 @@ ddedde_app <- function(deedee_obj = NULL) { shiny::includeHTML(path = out) }) } - + # nocov end # launch app ----------------------------------------------------------------- # shiny::shinyOptions(deedee_obj = deedee_obj) From 254aec2af0f3418e9d289f36bab82f9f75d2db73 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 20:16:13 +0100 Subject: [PATCH 077/182] add call to library in the tests, required because of ggvenn's odd namespace handling --- tests/testthat/test-DeeDee_plots.R | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/testthat/test-DeeDee_plots.R b/tests/testthat/test-DeeDee_plots.R index 45d3f79..e96004e 100644 --- a/tests/testthat/test-DeeDee_plots.R +++ b/tests/testthat/test-DeeDee_plots.R @@ -3,6 +3,9 @@ dde <- DeeDeeExperiment( de_results = del ) +# needed for bad handling of namespace by ggvenn +library("dplyr") + test_that("plotting & plotting", { p_scatter <- ddedde_scatter(dde) expect_is(p_scatter, "gg") From f6d92513dcde0c886f921d3d52136876e46cc153 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 9 Nov 2022 23:05:58 +0100 Subject: [PATCH 078/182] testing the summary report gets generated --- tests/testthat/test-DeeDee_misc.R | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 tests/testthat/test-DeeDee_misc.R diff --git a/tests/testthat/test-DeeDee_misc.R b/tests/testthat/test-DeeDee_misc.R new file mode 100644 index 0000000..90e09c8 --- /dev/null +++ b/tests/testthat/test-DeeDee_misc.R @@ -0,0 +1,23 @@ + +test_that("summary report", { + dde <- DeeDeeExperiment( + se_macrophage_noassays, + de_results = del + ) + + temp_output_file <- "test_report.html" + ddedde_summary( + dde = dde, + template = system.file("extdata", + "summary_template.Rmd", + package = "DeeDee"), + output_path = temp_output_file + ) + + # browseURL(temp_output_file) + expect_true(file.exists(temp_output_file)) + + file.remove(temp_output_file) +}) + + From af8c5029d00de5aaec7767fc5f3da6f2eb805bf9 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 00:43:40 +0100 Subject: [PATCH 079/182] specifying help content title fields, adjusting input element ids, prepend legacy package for some functions --- R/DeeDee-app.R | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index df13b38..5d85f14 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -30,7 +30,7 @@ #' #' if (interactive()) { #' # deedee_app(dd_list) -#' # ddedde_app(deedee_obj = DeeDeeObject(DeeDeeList = dd_list_original)) +#' # ddedde_app(deedee_obj = DeeDeeLegacy::DeeDeeObject(DeeDeeList = dd_list_original)) #' } ddedde_app <- function(deedee_obj = NULL) { @@ -81,7 +81,7 @@ ddedde_app <- function(deedee_obj = NULL) { ), shinyBS::bsCollapse( shinyBS::bsCollapsePanel( - title = "INFO", + title = "INFO - input", shiny::includeMarkdown( system.file("extdata", "input.md", package = "DeeDee") ), @@ -136,7 +136,7 @@ ddedde_app <- function(deedee_obj = NULL) { ), shinyBS::bsCollapse( shinyBS::bsCollapsePanel( - title = "INFO", + title = "INFO - scatter plot", shiny::includeMarkdown( system.file("extdata", "scatter.md", package = "DeeDee") ), @@ -231,7 +231,7 @@ ddedde_app <- function(deedee_obj = NULL) { ), shinyBS::bsCollapse( shinyBS::bsCollapsePanel( - title = "INFO", + title = "INFO - heatmap", shiny::includeMarkdown( system.file("extdata", "heatmap.md",package = "DeeDee") ), @@ -271,7 +271,7 @@ ddedde_app <- function(deedee_obj = NULL) { ), shinyBS::bsCollapse( shinyBS::bsCollapsePanel( - title = "INFO", + title = "INFO - venn", shiny::includeMarkdown( system.file("extdata", "venn.md", package = "DeeDee") ), @@ -325,7 +325,7 @@ ddedde_app <- function(deedee_obj = NULL) { ), shinyBS::bsCollapse( shinyBS::bsCollapsePanel( - title = "INFO", + title = "INFO - upset", shiny::includeMarkdown( system.file("extdata", "upset.md", package = "DeeDee") ), @@ -395,7 +395,7 @@ ddedde_app <- function(deedee_obj = NULL) { ), shinyBS::bsCollapse( shinyBS::bsCollapsePanel( - title = "INFO", + title = "INFO - qq plot", shiny::includeMarkdown( system.file("extdata", "qq.md", package = "DeeDee") ), @@ -451,7 +451,7 @@ ddedde_app <- function(deedee_obj = NULL) { ), shinyBS::bsCollapse( shinyBS::bsCollapsePanel( - title = "INFO", + title = "INFO - cat plot", shiny::includeMarkdown( system.file("extdata", "cat.md", package = "DeeDee") ), @@ -614,7 +614,7 @@ ddedde_app <- function(deedee_obj = NULL) { ), shinyBS::bsCollapse( shinyBS::bsCollapsePanel( - title = "INFO", + title = "INFO - summary", shiny::includeMarkdown( system.file("extdata", "summary.md", package = "DeeDee") ), @@ -637,7 +637,7 @@ ddedde_app <- function(deedee_obj = NULL) { anno <- input$in_organism require(anno, character.only = TRUE) shiny::selectInput( - inputId = "key_type", + inputId = "in_key_type", label = "Key type of gene IDs", choices = keytypes(get(anno)) ) @@ -713,7 +713,7 @@ ddedde_app <- function(deedee_obj = NULL) { } } - obj <- DeeDeeObject(DeeDeeList = dat) + obj <- DeeDeeLegacy::DeeDeeObject(DeeDeeList = dat) return(obj) }) @@ -748,7 +748,7 @@ ddedde_app <- function(deedee_obj = NULL) { shiny::req( shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) - dl <- DeeDeeObject(DeeDeeList = mydata_use()) + dl <- DeeDeeLegacy::DeeDeeObject(DeeDeeList = mydata_use()) saveRDS(dl, file) } ) @@ -921,7 +921,7 @@ ddedde_app <- function(deedee_obj = NULL) { geneList = scatter_brushed(), universe = data, orgDB = input$in_organism, - key_type = input$key_type + key_type = input$in_key_type ) shiny::validate( shiny::need( From 48606f99a9ee4b774d34f11ffedf11f0da66ef37 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 09:46:33 +0100 Subject: [PATCH 080/182] respecting some parameters also in upset plot where mono-directional --- R/DeeDee_upset.R | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/R/DeeDee_upset.R b/R/DeeDee_upset.R index 39d9ec9..6e7254f 100644 --- a/R/DeeDee_upset.R +++ b/R/DeeDee_upset.R @@ -140,7 +140,9 @@ ddedde_upset <- function(dde, comp <- as.data.frame(comp) res <- ComplexUpset::upset(comp, contrasts, - guide = NULL + guide = NULL, + width_ratio = 0.1, + min_size = min_setsize ) } From 22907e007b415006c9985e13ac7e8794346a8e9b Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 09:47:11 +0100 Subject: [PATCH 081/182] removing rowData AND dea name at the same spot of the iteration to avoid breaking validity when passing multiple elements to remove --- R/DeeDeeExperiment-methods.R | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/R/DeeDeeExperiment-methods.R b/R/DeeDeeExperiment-methods.R index 4bae10c..be0a93a 100644 --- a/R/DeeDeeExperiment-methods.R +++ b/R/DeeDeeExperiment-methods.R @@ -153,11 +153,10 @@ setMethod("remove_dea", for (i in deas_to_remove) { cols_to_remove <- c(paste0(i, c("_log2FoldChange", "_pvalue", "_padj"))) rowData(x) <- rowData(x)[, !(colnames(rowData(x)) %in% cols_to_remove)] + # update the deslot + dea(x)[[i]] <- NULL } - # update the deslot - dea(x)[[deas_to_remove]] <- NULL - # here check some validity? validObject(x) From d442d5ba0e5812ddb36df362f963c8e61b16d16f Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 12:05:17 +0100 Subject: [PATCH 082/182] moving towards using dde in the app, and having gentle (green) error messages triggered by validate-need --- R/DeeDee-app.R | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 5d85f14..fc7895b 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -32,7 +32,8 @@ #' # deedee_app(dd_list) #' # ddedde_app(deedee_obj = DeeDeeLegacy::DeeDeeObject(DeeDeeList = dd_list_original)) #' } -ddedde_app <- function(deedee_obj = NULL) { +ddedde_app <- function(deedee_obj = NULL, + dde = NULL) { # ui definition ----------------------------------------------------------- @@ -41,6 +42,19 @@ ddedde_app <- function(deedee_obj = NULL) { id = "tabs", theme = shinythemes::shinytheme("flatly"), + tags$head( + tags$style( + HTML( + ".shiny-output-error-validation { + font-size: 15px; + color: forestgreen; + text-align: center; + } + " + ) + ) + ), + # ui - data input ---------------------------------------------------------- shiny::tabPanel( title = "Input", From f44396a1b6891f94c110c5d6f94c21890006ca24 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 12:08:59 +0100 Subject: [PATCH 083/182] fileInput to handle the upload of DeeDeeExperiment objects, with observer to handle the storing to reactiveValues --- R/DeeDee-app.R | 101 ++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 100 insertions(+), 1 deletion(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index fc7895b..ce4b8c8 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -68,7 +68,19 @@ ddedde_app <- function(deedee_obj = NULL, accept = c(".rds", ".txt", ".xlsx"), placeholder = "No files selected" ), - shiny::tableOutput("inp_infobox") + + shiny::fileInput( + inputId = "upload_deedee", + label = "Upload your DeeDeeExperiment object", + # multiple = TRUE, + multiple = FALSE, + accept = c(".rds"), + placeholder = "no DeeDeeExperiment provided" + ), + + verbatimTextOutput("print_dde"), + shiny::tableOutput("inp_infobox"), + verbatimTextOutput("print_dde_touse") ), shiny::column( width = 4, @@ -84,6 +96,7 @@ ddedde_app <- function(deedee_obj = NULL, ), shiny::uiOutput("ui_key_inp"), shiny::uiOutput("ui_datasets"), + shiny::uiOutput("ui_datasets_deedee"), shiny::conditionalPanel( "output.inp_infobox", shiny::downloadButton( @@ -645,6 +658,18 @@ ddedde_app <- function(deedee_obj = NULL, # nocov start deedee_server <- function(input, output, session) { + # initializing reactives --------------------------------------------------- + reactive_values <- reactiveValues() + + if (!is.null(dde)) { + message("DeeDeeExperiment object provided") + + reactive_values$dde <- dde + } else { + message("no DeeDeeExperiment data provided, upload at runtime expected") + reactive_values$dde <- NULL + } + # server - data input ------------------------------------------------------ output$ui_key_inp <- shiny::renderUI({ shiny::req(input$in_organism) @@ -732,6 +757,16 @@ ddedde_app <- function(deedee_obj = NULL, return(obj) }) + my_deedee <- reactive({ + # TODO: from the list to the DeeDeeExperiment + + # TODO: or directly from the uploads + + + # TODO: or as of now, passed directly from the argument + reactive_values$dde + }) + output$ui_datasets <- shiny::renderUI({ shiny::req( shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) @@ -744,6 +779,21 @@ ddedde_app <- function(deedee_obj = NULL, ) }) + output$ui_datasets_deedee <- shiny::renderUI({ + shiny::req( + shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + ) + shiny::req( + shiny::isTruthy(reactive_values$dde) + ) + shiny::checkboxGroupInput( + inputId = "select_datasets_deedee", + label = "Select datasets to be used", + choices = names(dea(my_deedee())), + selected = names(dea(my_deedee())) + ) + }) + mydata_use <- shiny::reactive({ shiny::req( shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) @@ -756,6 +806,23 @@ ddedde_app <- function(deedee_obj = NULL, return(dat2) }) + + output$print_dde <- renderPrint({ + my_deedee() + }) + + my_deedee_use <- reactive({ + to_use <- input$select_datasets_deedee + to_remove <- setdiff(names(dea(my_deedee())), to_use) + + dde_to_use <- remove_dea(my_deedee(), dea_name = to_remove) + dde_to_use + }) + + output$print_dde_touse <- renderPrint({ + my_deedee_use() + }) + output$btn_inp_download <- shiny::downloadHandler( filename = "DeeDee_object.RDS", content = function(file) { @@ -1557,6 +1624,38 @@ ddedde_app <- function(deedee_obj = NULL, shiny::includeHTML(path = out) }) + + + + # observers ---------------------------------------------------------------- + + observeEvent(input$upload_deedee, { + tryCatch( + { + showNotification( + "Trying to upload a DeeDeeExperiment object as an RDS file...", + id = "upload_try" + ) + + reactive_values$in_dde <- readRDS(input$upload_deedee$datapath) + + if (is(reactive_values$in_dde, "DeeDeeExperiment")) { + reactive_values$dde <- reactive_values$in_dde + showNotification( + ui = "Upload complete, enjoy exploring your dataset with DeeDee! ", + type = "message" + ) + } + }, + error = function(e) { + showNotification( + "Wrong/unexpected file format uploaded! Please check the content of your RDS file to be a DeeDeeExperiment.", + type = "error" + ) + } + ) + }) + } # nocov end From 9f903957003743c1205a666ab361642c5b444013 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 17:51:16 +0100 Subject: [PATCH 084/182] fix imports with shiny::tags --- NAMESPACE | 1 + R/DeeDee-pkg.R | 2 +- tests/testthat/test-DeeDee_app.R | 2 ++ 3 files changed, 4 insertions(+), 1 deletion(-) diff --git a/NAMESPACE b/NAMESPACE index db85d22..e9e3c9f 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -112,6 +112,7 @@ importFrom(shiny,selectInput) importFrom(shiny,shinyApp) importFrom(shiny,tabPanel) importFrom(shiny,tableOutput) +importFrom(shiny,tags) importFrom(shiny,textOutput) importFrom(shiny,uiOutput) importFrom(shiny,validate) diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index 80af2d1..a0c701a 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -28,7 +28,7 @@ #' fileInput fluidRow includeMarkdown navbarPage need numericInput #' observeEvent plotOutput reactive reactiveValues renderPlot renderTable #' renderText renderUI req selectInput shinyApp tableOutput tabPanel -#' textOutput uiOutput validate +#' tags textOutput uiOutput validate #' @importFrom shinyBS bsCollapse bsCollapsePanel bsModal #' @importFrom shinycssloaders withSpinner #' @importFrom shinythemes shinytheme diff --git a/tests/testthat/test-DeeDee_app.R b/tests/testthat/test-DeeDee_app.R index 870baa3..df30d7c 100644 --- a/tests/testthat/test-DeeDee_app.R +++ b/tests/testthat/test-DeeDee_app.R @@ -1,6 +1,8 @@ test_that("shiny", { data(dd_list_original, package = "DeeDee") + library("shiny") + myapp <- ddedde_app(deedee_obj = DeeDeeLegacy::DeeDeeObject(DeeDeeList = dd_list_original)) expect_is(myapp, "shiny.appobj") From b51217e3d61999c42c14425b4dea7e9e16b0fb4e Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 17:51:54 +0100 Subject: [PATCH 085/182] switching towards using the DeeDee object consistently throughout the app --- R/DeeDee-app.R | 137 ++++++++++++++++++++++++++++--------------------- 1 file changed, 78 insertions(+), 59 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index ce4b8c8..1c2a910 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -5,6 +5,7 @@ #' graphical user interface. #' #' @param deedee_obj An object of the class DeeDeeExperiment to be analyzed. +#' @param dde An object of the class DeeDeeExperiment to be analyzed. #' #' @return A shiny app #' @export @@ -42,22 +43,21 @@ ddedde_app <- function(deedee_obj = NULL, id = "tabs", theme = shinythemes::shinytheme("flatly"), - tags$head( - tags$style( - HTML( - ".shiny-output-error-validation { - font-size: 15px; - color: forestgreen; - text-align: center; - } - " - ) - ) - ), - # ui - data input ---------------------------------------------------------- shiny::tabPanel( title = "Input", + tags$head( + tags$style( + HTML( + ".shiny-output-error-validation { + font-size: 15px; + color: forestgreen; + text-align: center; + } + " + ) + ) + ), shiny::fluidRow( shiny::column( width = 8, @@ -861,7 +861,7 @@ ddedde_app <- function(deedee_obj = NULL, shiny::selectInput( inputId = "in_scatter_select1", label = "1st data set", - choices = names(mydata_use()) + choices = names(dea(my_deedee_use())) ) }) @@ -872,8 +872,8 @@ ddedde_app <- function(deedee_obj = NULL, shiny::selectInput( inputId = "in_scatter_select2", label = "2nd data set", - selected = names(mydata_use())[2], - choices = names(mydata_use()) + selected = names(dea(my_deedee_use()))[2], + choices = names(dea(my_deedee_use())) ) }) @@ -886,23 +886,25 @@ ddedde_app <- function(deedee_obj = NULL, output$plot_deedee_scatter <- shiny::renderPlot({ shiny::validate( shiny::need( - length(mydata()@DeeDeeList) >= 2, + # length(mydata()@DeeDeeList) >= 2, + length(dea(my_deedee())) >= 2, "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( - length(mydata_use()) >= 2, + # length(mydata_use()) >= 2, + length(dea(my_deedee_use())) >= 2, "Please select at least two contrasts." ) ) - sel1 <- match(input$in_scatter_select1, names(mydata_use())) - sel2 <- match(input$in_scatter_select2, names(mydata_use())) + sel1 <- match(input$in_scatter_select1, names(dea(my_deedee_use()))) + sel2 <- match(input$in_scatter_select2, names(dea(my_deedee_use()))) shiny::req(sel1) shiny::req(sel2) - res <- deedee_scatter( - mydata_use(), + res <- ddedde_scatter( + my_deedee_use(), select1 = sel1, select2 = sel2, color_by = input$in_scatter_color_by, @@ -1053,13 +1055,15 @@ ddedde_app <- function(deedee_obj = NULL, output$heatmap_errors <- shiny::renderText({ shiny::validate( shiny::need( - length(mydata()@DeeDeeList) >= 2, + # length(mydata()@DeeDeeList) >= 2, + length(dea(my_deedee())) >= 2, "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( - length(mydata_use()) >= 2, + # length(mydata_use()) >= 2, + length(dea(my_deedee_use())) >= 2, "Please select at least two contrasts." ) ) @@ -1078,8 +1082,8 @@ ddedde_app <- function(deedee_obj = NULL, ) shiny::req(input$in_heatmap_show_first) shiny::req(mydata_use()) - res <- deedee_heatmap( - mydata_use(), + res <- ddedde_heatmap( + my_deedee_use(), show_first = input$in_heatmap_show_first, show_gene_names = input$in_heatmap_show_gene_names, dist = input$in_heatmap_dist, @@ -1140,7 +1144,10 @@ ddedde_app <- function(deedee_obj = NULL, }) shiny::observeEvent(input$btn_heatmap_action, { - shiny::req(length(mydata_use()) >= 2) + shiny::req( + # length(mydata_use()) >= 2 + length(dea(my_deedee_use())) >= 2, + ) global$notify <- FALSE InteractiveComplexHeatmap::makeInteractiveComplexHeatmap( input, @@ -1156,13 +1163,15 @@ ddedde_app <- function(deedee_obj = NULL, output$plot_deedee_venn <- shiny::renderPlot({ shiny::validate( shiny::need( - length(mydata()@DeeDeeList) >= 2, + # length(mydata()@DeeDeeList) >= 2, + length(dea(my_deedee())) >= 2, "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( - length(mydata_use()) >= 2, + # length(mydata_use()) >= 2, + length(dea(my_deedee_use())) >= 2, "Please select at least two contrasts." ) ) @@ -1170,8 +1179,8 @@ ddedde_app <- function(deedee_obj = NULL, shiny::req( shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) - res <- deedee_venn( - mydata_use(), + res <- ddedde_venn( + my_deedee_use(), mode = input$in_venn_mode, pthresh = input$in_venn_pthresh ) @@ -1191,13 +1200,15 @@ ddedde_app <- function(deedee_obj = NULL, output$plot_deedee_upset <- shiny::renderPlot({ shiny::validate( shiny::need( - length(mydata()@DeeDeeList) >= 2, + # length(mydata()@DeeDeeList) >= 2, + length(dea(my_deedee())) >= 2, "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( - length(mydata_use()) >= 2, + # length(mydata_use()) >= 2, + length(dea(my_deedee_use())) >= 2, "Please select at least two contrasts." ) ) @@ -1211,8 +1222,8 @@ ddedde_app <- function(deedee_obj = NULL, mode <- input$in_upset_mode } - res <- deedee_upset( - mydata_use(), + res <- ddedde_upset( + my_deedee_use(), mode = mode, pthresh = input$in_upset_pthresh, min_setsize = input$in_upset_minset @@ -1236,7 +1247,7 @@ ddedde_app <- function(deedee_obj = NULL, shiny::selectInput( inputId = "in_qq_select1", label = "1st data set", - choices = names(mydata_use()) + choices = names(dea(my_deedee_use())) ) }) @@ -1247,8 +1258,8 @@ ddedde_app <- function(deedee_obj = NULL, shiny::selectInput( inputId = "in_qq_select2", label = "2nd data set", - selected = names(mydata_use())[2], - choices = names(mydata_use()) + selected = names(dea(my_deedee_use()))[2], + choices = names(dea(my_deedee_use())) ) }) @@ -1259,20 +1270,22 @@ ddedde_app <- function(deedee_obj = NULL, shiny::selectInput( inputId = "in_qq_reference", label = "Reference", - choices = names(mydata_use()) + choices = names(dea(my_deedee_use())) ) }) output$plot_deedee_qq <- shiny::renderPlot({ shiny::validate( shiny::need( - length(mydata()@DeeDeeList) >= 2, + # length(mydata()@DeeDeeList) >= 2, + length(dea(my_deedee())) >= 2, "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( - length(mydata_use()) >= 2, + # length(mydata_use()) >= 2, + length(dea(my_deedee_use())) >= 2, "Please select at least two contrasts." ) ) @@ -1280,12 +1293,12 @@ ddedde_app <- function(deedee_obj = NULL, shiny::req( shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) - sel1 <- match(input$in_qq_select1, names(mydata_use())) - sel2 <- match(input$in_qq_select2, names(mydata_use())) + sel1 <- match(input$in_qq_select1, names(dea(my_deedee_use()))) + sel2 <- match(input$in_qq_select2, names(dea(my_deedee_use()))) shiny::req(sel1) shiny::req(sel2) - res <- deedee_qq( - mydata_use(), + res <- ddedde_qq( + my_deedee_use(), select1 = sel1, select2 = sel2, color_by = input$in_qq_color_by, @@ -1306,13 +1319,15 @@ ddedde_app <- function(deedee_obj = NULL, output$plot_deedee_qq_mult <- shiny::renderPlot({ shiny::validate( shiny::need( - length(mydata()@DeeDeeList) >= 2, + # length(mydata()@DeeDeeList) >= 2, + length(dea(my_deedee())) >= 2, "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( - length(mydata_use()) >= 2, + # length(mydata_use()) >= 2, + length(dea(my_deedee_use())) >= 2, "Please select at least two contrasts." ) ) @@ -1320,10 +1335,10 @@ ddedde_app <- function(deedee_obj = NULL, shiny::req( shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) ) - ref <- match(input$in_qq_reference, names(mydata_use())) + ref <- match(input$in_qq_reference, names(dea(my_deedee_use()))) shiny::req(ref) - res <- deedee_qqmult( - mydata_use(), + res <- ddedde_qqmult( + my_deedee_use(), ref = ref, pthresh = input$in_qq_pthresh ) @@ -1437,21 +1452,23 @@ ddedde_app <- function(deedee_obj = NULL, shiny::selectInput( inputId = "in_cat_ref", label = "Reference contrast", - selected = names(mydata_use())[1], - choices = names(mydata_use()) + selected = names(dea(my_deedee_use()))[1], + choices = names(dea(my_deedee_use())) ) }) output$plot_deedee_cat <- shiny::renderPlot({ shiny::validate( shiny::need( - length(mydata()@DeeDeeList) >= 2, + # length(mydata()@DeeDeeList) >= 2, + length(dea(my_deedee())) >= 2, "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( - length(mydata_use()) >= 2, + # length(mydata_use()) >= 2, + length(dea(my_deedee_use())) >= 2, "Please select at least two contrasts." ) ) @@ -1462,9 +1479,9 @@ ddedde_app <- function(deedee_obj = NULL, shiny::req(input$in_cat_maxrank) shiny::req(input$in_cat_ref) - ref <- match(input$in_cat_ref, names(mydata_use())) - res <- deedee_cat( - mydata_use(), + ref <- match(input$in_cat_ref, names(dea(my_deedee_use()))) + res <- ddedde_cat( + my_deedee_use(), ref = ref, maxrank = input$in_cat_maxrank, mode = input$in_cat_mode, @@ -1532,13 +1549,15 @@ ddedde_app <- function(deedee_obj = NULL, summary <- reactive({ shiny::validate( shiny::need( - length(mydata()@DeeDeeList) >= 2, + # length(mydata()@DeeDeeList) >= 2, + length(dea(my_deedee())) >= 2, "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( - length(mydata_use()) >= 2, + # length(mydata_use()) >= 2, + length(dea(my_deedee_use())) >= 2, "Please select at least two contrasts." ) ) From ed8389a352e2f6a8339c4d7e70998ebd0cfc3796 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 19:03:11 +0100 Subject: [PATCH 086/182] fixing namespace imports --- NAMESPACE | 2 ++ R/DeeDee-pkg.R | 4 ++-- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index e9e3c9f..f638e2a 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -83,6 +83,7 @@ importFrom(ggvenn,ggvenn) importFrom(readxl,excel_sheets) importFrom(readxl,read_excel) importFrom(rlang,.data) +importFrom(shiny,HTML) importFrom(shiny,actionButton) importFrom(shiny,addResourcePath) importFrom(shiny,brushOpts) @@ -112,6 +113,7 @@ importFrom(shiny,selectInput) importFrom(shiny,shinyApp) importFrom(shiny,tabPanel) importFrom(shiny,tableOutput) +importFrom(shiny,tagList) importFrom(shiny,tags) importFrom(shiny,textOutput) importFrom(shiny,uiOutput) diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index a0c701a..ed48f90 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -25,10 +25,10 @@ #' @importFrom readxl excel_sheets read_excel #' @importFrom shiny actionButton brushedPoints brushOpts checkboxGroupInput #' checkboxInput column conditionalPanel downloadButton downloadHandler -#' fileInput fluidRow includeMarkdown navbarPage need numericInput +#' fileInput fluidRow HTML includeMarkdown navbarPage need numericInput #' observeEvent plotOutput reactive reactiveValues renderPlot renderTable #' renderText renderUI req selectInput shinyApp tableOutput tabPanel -#' tags textOutput uiOutput validate +#' tagList tags textOutput uiOutput validate #' @importFrom shinyBS bsCollapse bsCollapsePanel bsModal #' @importFrom shinycssloaders withSpinner #' @importFrom shinythemes shinytheme From 9ba6c53f4f32308c5d517a05ab1bc2d1f1c4d6ac Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 19:04:31 +0100 Subject: [PATCH 087/182] moving all ui components into renderUi elements, easier to have ui+server closer to each other; moreover, useful to handle value-dependent ui configurations --- R/DeeDee-app.R | 1157 +++++++++++++++++++++++++----------------------- 1 file changed, 606 insertions(+), 551 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 1c2a910..dba36d7 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -48,7 +48,7 @@ ddedde_app <- function(deedee_obj = NULL, title = "Input", tags$head( tags$style( - HTML( + shiny::HTML( ".shiny-output-error-validation { font-size: 15px; color: forestgreen; @@ -58,63 +58,8 @@ ddedde_app <- function(deedee_obj = NULL, ) ) ), - shiny::fluidRow( - shiny::column( - width = 8, - shiny::fileInput( - inputId = "upload_de", - label = "Upload your DEA results or DeeDee objects", - multiple = TRUE, - accept = c(".rds", ".txt", ".xlsx"), - placeholder = "No files selected" - ), - shiny::fileInput( - inputId = "upload_deedee", - label = "Upload your DeeDeeExperiment object", - # multiple = TRUE, - multiple = FALSE, - accept = c(".rds"), - placeholder = "no DeeDeeExperiment provided" - ), - - verbatimTextOutput("print_dde"), - shiny::tableOutput("inp_infobox"), - verbatimTextOutput("print_dde_touse") - ), - shiny::column( - width = 4, - shiny::selectInput( - inputId = "in_organism", - label = "Organism", - choices = list( - "Human" = "org.Hs.eg.db", - "Mouse" = "org.Mm.eg.db", - "Fly" = "org.Dm.eg.db", - "Rat" = "org.Rn.eg.db" - ) - ), - shiny::uiOutput("ui_key_inp"), - shiny::uiOutput("ui_datasets"), - shiny::uiOutput("ui_datasets_deedee"), - shiny::conditionalPanel( - "output.inp_infobox", - shiny::downloadButton( - "btn_inp_download", - "Download DeeDee object (.RDS)" - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel( - title = "INFO - input", - shiny::includeMarkdown( - system.file("extdata", "input.md", package = "DeeDee") - ), - style = "primary" - ) - ), + uiOutput("ui_panel_datainput"), # shiny::downloadButton("vignette", # "Download DeeDee Package vignette (.html)") @@ -123,71 +68,8 @@ ddedde_app <- function(deedee_obj = NULL, # ui - scatter ------------------------------------------------------------- shiny::tabPanel( title = "Scatterplot", - shiny::fluidRow( - shiny::column( - width = 4, - shiny::uiOutput("ui_scatter_choices1"), - shiny::uiOutput("ui_scatter_choices2"), - shiny::selectInput( - inputId = "in_scatter_color_by", - label = "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" - ), - shiny::numericInput( - inputId = "in_scatter_pthresh", - label = "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ), - shiny::actionButton( - inputId = "btn_ora_button", - label = "Over-representation analysis" - ) - ), - shiny::column( - width = 8, - shinycssloaders::withSpinner( - shiny::plotOutput( - outputId = "plot_deedee_scatter", - # dblclick = "scatter_dblclick", - brush = shiny::brushOpts( - id = "scatter_brush", - resetOnNew = FALSE - ) - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel( - title = "INFO - scatter plot", - shiny::includeMarkdown( - system.file("extdata", "scatter.md", package = "DeeDee") - ), - style = "primary" - ) - ), - shinyBS::bsModal( - id = "modalExample", - title = "Gene Ontology over-representation analysis", - trigger = "btn_ora_button", - size = "large", - shinycssloaders::withSpinner( - shiny::plotOutput("scatter_ora") - ), - shiny::downloadButton( - outputId = "btn_ora_download", - label = "Download enrichment result object (.RDS)" - ) - ), - shiny::downloadButton( - outputId = "btn_scatter_brush_download", - label = "Download brushed genes (.xlsx)" - ), - shiny::tableOutput("scatter_brush_info") + + uiOutput("ui_panel_scatter"), ), @@ -195,459 +77,47 @@ ddedde_app <- function(deedee_obj = NULL, shiny::tabPanel( title = "Heatmap", id = "heatmap", - shiny::fluidRow( - shiny::column( - width = 4, - shiny::numericInput( - inputId = "in_heatmap_show_first", - label = "Show first", - value = 25, - min = 1 - ), - shiny::checkboxInput( - inputId = "in_heatmap_show_gene_names", - label = "Show gene names", - value = FALSE - ), - shiny::checkboxInput( - inputId = "in_heatmap_showNA", - label = "Show NA", - value = FALSE - ), - shiny::selectInput( - inputId = "in_heatmap_dist", - label = "Distance measure", - choices = list( - "Euclidean" = "euclidean", - "Manhattan" = "manhattan", - "Pearson" = "pearson", - "Spearman" = "spearman" - ), - selected = "euclidean" - ), - shiny::selectInput( - inputId = "in_heatmap_clust", - label = "Clustering method", - choices = list( - "Single" = "single", - "Complete" = "complete", - "Average" = "average", - "Centroid" = "centroid" - ), - selected = "average" - ), - shiny::numericInput( - inputId = "in_heatmap_pthresh", - label = "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ), - shiny::actionButton( - inputId = "btn_heatmap_action", - label = "Create heatmap") - ), - shiny::column( - width = 8, - shiny::textOutput("heatmap_errors"), - shiny::conditionalPanel( - "output.heatmap_errors == ''", - shinycssloaders::withSpinner( - InteractiveComplexHeatmap::InteractiveComplexHeatmapOutput() - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel( - title = "INFO - heatmap", - shiny::includeMarkdown( - system.file("extdata", "heatmap.md",package = "DeeDee") - ), - style = "primary" - ) - ) + + uiOutput("ui_panel_heatmap"), + ), # ui - venn ---------------------------------------------------------------- shiny::tabPanel( title = "Venn Diagram", - shiny::fluidRow( - shiny::column( - width = 4, - shiny::selectInput( - inputId = "in_venn_mode", - label = "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ), - shiny::numericInput( - inputId = "in_venn_pthresh", - label = "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - width = 8, - shinycssloaders::withSpinner( - shiny::plotOutput("plot_deedee_venn") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel( - title = "INFO - venn", - shiny::includeMarkdown( - system.file("extdata", "venn.md", package = "DeeDee") - ), - style = "primary" - ) - ) + + uiOutput("ui_panel_venn"), ), # ui - upset --------------------------------------------------------------- shiny::tabPanel( title = "UpSet Plot", - shiny::fluidRow( - shiny::column( - width = 4, - shiny::selectInput( - inputId = "in_upset_mode", - label = "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ), - shiny::conditionalPanel( - condition = "input.in_upset_mode == 'both'", - shiny::checkboxInput( - inputId = "in_upset_colored", - label = "Coloring", - value = TRUE - ) - ), - shiny::numericInput( - inputId = "in_upset_minset", - label = "Minimum set size", - value = 10, min = 0, step = 1 - ), - shiny::numericInput( - inputId = "in_upset_pthresh", - label = "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - width = 8, - shinycssloaders::withSpinner( - shiny::plotOutput("plot_deedee_upset") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel( - title = "INFO - upset", - shiny::includeMarkdown( - system.file("extdata", "upset.md", package = "DeeDee") - ), - style = "primary" - ) - ) + + uiOutput("ui_panel_upset"), ), # ui - qq ------------------------------------------------------------------ shiny::tabPanel( title = "Quantile-Quantile Plot", - shiny::fluidRow( - shiny::column( - width = 4, - shiny::checkboxInput( - inputId = "in_qq_multiple", - label = "Multiple", - value = FALSE - ), - shiny::conditionalPanel( - condition = "!input.in_qq_multiple", - shiny::uiOutput("ui_qq_choices1"), - shiny::uiOutput("ui_qq_choices2"), - shiny::selectInput( - inputId = "in_qq_color_by", - label = "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" - ), - shiny::checkboxInput( - inputId = "in_qq_line", - "As line", - value = FALSE) - ), - shiny::conditionalPanel( - condition = "input.in_qq_multiple", - shiny::uiOutput("ui_qq_ref"), - ), - shiny::numericInput( - inputId = "in_qq_pthresh", - label = "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - width = 8, - shiny::conditionalPanel( - condition = "!input.in_qq_multiple", - shinycssloaders::withSpinner( - shiny::plotOutput( - outputId = "plot_deedee_qq", - brush = "qq_brush" - ) - ) - ), - shiny::conditionalPanel( - condition = "input.in_qq_multiple", - shinycssloaders::withSpinner( - shiny::plotOutput("plot_deedee_qq_mult") - ) - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel( - title = "INFO - qq plot", - shiny::includeMarkdown( - system.file("extdata", "qq.md", package = "DeeDee") - ), - style = "primary" - ) - ), - shiny::conditionalPanel( - condition = "!input.in_qq_multiple", - shiny::downloadButton( - outputId = "btn_qq_brush_download", - label = "Download brushed genes (.xlsx)" - ), - shiny::tableOutput("qq_brush_info") - ) + + uiOutput("ui_panel_qq"), ), # ui - cat ----------------------------------------------------------------- shiny::tabPanel( title = "Concordance At the Top Plot", - shiny::fluidRow( - shiny::column( - width = 4, - shiny::selectInput( - inputId = "in_cat_mode", - label = "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "up" - ), - shiny::numericInput( - inputId = "in_cat_maxrank", - label = "Max rank", - value = 1000, - min = 1 - ), - shiny::uiOutput("ui_cat_choice"), - shiny::numericInput( - inputId = "in_cat_pthresh", - label = "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ) - ), - shiny::column( - width = 8, - shinycssloaders::withSpinner( - shiny::plotOutput("plot_deedee_cat") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel( - title = "INFO - cat plot", - shiny::includeMarkdown( - system.file("extdata", "cat.md", package = "DeeDee") - ), - style = "primary" - ) - ) + + uiOutput("ui_panel_cat"), ), # ui - summary ------------------------------------------------------------- shiny::tabPanel( title = "Summary", - shiny::numericInput( - inputId = "sum_pthresh", - label = "P-value threshold", - value = 0.05, min = 0.01, max = 1, step = 0.01 - ), - shiny::actionButton( - inputId = "sum_button", - label = "Create Summary" - ), - shinyBS::bsModal( - id = "sum_modal", - title = "DeeDee Summary", - trigger = "sum_button", - size = "large", - shiny::fluidPage( - shiny::downloadButton( - outputId = "sum_download", - label = "Download your DeeDee Summary (.html)" - ), - shinycssloaders::withSpinner( - shiny::uiOutput("ui_show_html_summary") - ) - ) - ), - shiny::fluidRow( - shinydashboard::tabBox( - title = "", - width = 12, - id = "sum_params", - shiny::tabPanel( - "Scatterplot", - shiny::uiOutput("ui_sum_scatter_choices1"), - shiny::uiOutput("ui_sum_scatter_choices2"), - shiny::selectInput( - inputId = "sum_scatter_color_by", - label = "Color by", - choices = list( - "1st p-value" = "pval1", - "2nd p-value" = "pval2" - ), - selected = "pval1" - ) - ), - shiny::tabPanel( - title = "Heatmap", - shiny::numericInput( - inputId = "sum_heatmap_show_first", - label = "Show first", - value = 25, - min = 1 - ), - shiny::checkboxInput( - inputId = "sum_heatmap_show_gene_names", - label = "Show gene names", - value = FALSE - ), - shiny::checkboxInput( - inputId = "sum_heatmap_show_na", - label = "Show NA", - value = FALSE - ), - shiny::selectInput( - inputId = "sum_heatmap_dist", - label = "Distance measure", - choices = list( - "Euclidean" = "euclidean", - "Manhattan" = "manhattan", - "Pearson" = "pearson", - "Spearman" = "spearman" - ), - selected = "euclidean" - ), - shiny::selectInput( - inputId = "sum_heatmap_clust", - label = "Clustering method", - choices = list( - "Single" = "single", - "Complete" = "complete", - "Average" = "average", - "Centroid" = "centroid" - ), - selected = "average" - ) - ), - shiny::tabPanel( - title = "Venn Diagram", - shiny::selectInput( - inputId = "sum_venn_mode", - label = "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ) - ), - shiny::tabPanel( - title = "UpSet Plot", - shiny::selectInput( - inputId = "sum_upset_mode", - label = "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "both" - ), - shiny::conditionalPanel( - condition = "input.sum_upset_mode == 'both'", - shiny::checkboxInput( - inputId = "sum_upset_colored", - label = "Coloring", - value = TRUE - ) - ), - shiny::numericInput( - inputId = "sum_upset_min_setsize", - label = "Minimum set size", - value = 10, min = 0, step = 1 - ) - ), - shiny::tabPanel( - title = "Quantile-Quantile Plot", - shiny::uiOutput("ui_sum_qq_ref"), - ), - shiny::tabPanel( - title = "Concordance At the Top Plot", - shiny::selectInput( - inputId = "sum_cat_mode", - label = "Mode", - choices = list( - "Up" = "up", - "Down" = "down", - "Both" = "both" - ), - selected = "up" - ), - shiny::numericInput( - inputId = "sum_cat_maxrank", - label = "Max rank", - value = 1000, - min = 1 - ), - shiny::uiOutput("ui_sum_cat_choice") - ) - ) - ), - shinyBS::bsCollapse( - shinyBS::bsCollapsePanel( - title = "INFO - summary", - shiny::includeMarkdown( - system.file("extdata", "summary.md", package = "DeeDee") - ), - style = "primary" - ) - ) + + uiOutput("ui_panel_summary") ) ) @@ -671,6 +141,67 @@ ddedde_app <- function(deedee_obj = NULL, } # server - data input ------------------------------------------------------ + output$ui_panel_datainput <- renderUI({ + tagList( + shiny::fluidRow( + shiny::column( + width = 8, + shiny::fileInput( + inputId = "upload_de", + label = "Upload your DEA results or DeeDee objects", + multiple = TRUE, + accept = c(".rds", ".txt", ".xlsx"), + placeholder = "No files selected" + ), + + shiny::fileInput( + inputId = "upload_deedee", + label = "Upload your DeeDeeExperiment object", + # multiple = TRUE, + multiple = FALSE, + accept = c(".rds"), + placeholder = "no DeeDeeExperiment provided" + ), + + verbatimTextOutput("print_dde"), + shiny::tableOutput("inp_infobox"), + verbatimTextOutput("print_dde_touse") + ), + shiny::column( + width = 4, + shiny::selectInput( + inputId = "in_organism", + label = "Organism", + choices = list( + "Human" = "org.Hs.eg.db", + "Mouse" = "org.Mm.eg.db", + "Fly" = "org.Dm.eg.db", + "Rat" = "org.Rn.eg.db" + ) + ), + shiny::uiOutput("ui_key_inp"), + shiny::uiOutput("ui_datasets"), + shiny::uiOutput("ui_datasets_deedee"), + shiny::conditionalPanel( + "output.inp_infobox", + shiny::downloadButton( + "btn_inp_download", + "Download DeeDee object (.RDS)" + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel( + title = "INFO - input", + shiny::includeMarkdown( + system.file("extdata", "input.md", package = "DeeDee") + ), + style = "primary" + ) + ) + ) + }) output$ui_key_inp <- shiny::renderUI({ shiny::req(input$in_organism) anno <- input$in_organism @@ -780,9 +311,9 @@ ddedde_app <- function(deedee_obj = NULL, }) output$ui_datasets_deedee <- shiny::renderUI({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) shiny::req( shiny::isTruthy(reactive_values$dde) ) @@ -853,7 +384,76 @@ ddedde_app <- function(deedee_obj = NULL, # server - scatter --------------------------------------------------------- - # --- selectors --- + output$ui_panel_scatter <- renderUI({ + tagList( + shiny::fluidRow( + shiny::column( + width = 4, + shiny::uiOutput("ui_scatter_choices1"), + shiny::uiOutput("ui_scatter_choices2"), + shiny::selectInput( + inputId = "in_scatter_color_by", + label = "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" + ), + shiny::numericInput( + inputId = "in_scatter_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ), + shiny::actionButton( + inputId = "btn_ora_button", + label = "Over-representation analysis" + ) + ), + shiny::column( + width = 8, + shinycssloaders::withSpinner( + shiny::plotOutput( + outputId = "plot_deedee_scatter", + # dblclick = "scatter_dblclick", + brush = shiny::brushOpts( + id = "scatter_brush", + resetOnNew = FALSE + ) + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel( + title = "INFO - scatter plot", + shiny::includeMarkdown( + system.file("extdata", "scatter.md", package = "DeeDee") + ), + style = "primary" + ) + ), + shinyBS::bsModal( + id = "modalExample", + title = "Gene Ontology over-representation analysis", + trigger = "btn_ora_button", + size = "large", + shinycssloaders::withSpinner( + shiny::plotOutput("scatter_ora") + ), + shiny::downloadButton( + outputId = "btn_ora_download", + label = "Download enrichment result object (.RDS)" + ) + ), + shiny::downloadButton( + outputId = "btn_scatter_brush_download", + label = "Download brushed genes (.xlsx)" + ), + shiny::tableOutput("scatter_brush_info") + ) + }) + output$ui_scatter_choices1 <- shiny::renderUI({ shiny::req( shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) @@ -1052,6 +652,81 @@ ddedde_app <- function(deedee_obj = NULL, ) # server - heatmap --------------------------------------------------------- + output$ui_panel_heatmap <- renderUI({ + tagList( + shiny::fluidRow( + shiny::column( + width = 4, + shiny::numericInput( + inputId = "in_heatmap_show_first", + label = "Show first", + value = 25, + min = 1 + ), + shiny::checkboxInput( + inputId = "in_heatmap_show_gene_names", + label = "Show gene names", + value = FALSE + ), + shiny::checkboxInput( + inputId = "in_heatmap_showNA", + label = "Show NA", + value = FALSE + ), + shiny::selectInput( + inputId = "in_heatmap_dist", + label = "Distance measure", + choices = list( + "Euclidean" = "euclidean", + "Manhattan" = "manhattan", + "Pearson" = "pearson", + "Spearman" = "spearman" + ), + selected = "euclidean" + ), + shiny::selectInput( + inputId = "in_heatmap_clust", + label = "Clustering method", + choices = list( + "Single" = "single", + "Complete" = "complete", + "Average" = "average", + "Centroid" = "centroid" + ), + selected = "average" + ), + shiny::numericInput( + inputId = "in_heatmap_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ), + shiny::actionButton( + inputId = "btn_heatmap_action", + label = "Create heatmap") + ), + shiny::column( + width = 8, + shiny::textOutput("heatmap_errors"), + shiny::conditionalPanel( + "output.heatmap_errors == ''", + shinycssloaders::withSpinner( + InteractiveComplexHeatmap::InteractiveComplexHeatmapOutput() + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel( + title = "INFO - heatmap", + shiny::includeMarkdown( + system.file("extdata", "heatmap.md",package = "DeeDee") + ), + style = "primary" + ) + ) + ) + }) + output$heatmap_errors <- shiny::renderText({ shiny::validate( shiny::need( @@ -1160,6 +835,46 @@ ddedde_app <- function(deedee_obj = NULL, # server - venn ------------------------------------------------------------ + output$ui_panel_venn <- renderUI({ + tagList( + shiny::fluidRow( + shiny::column( + width = 4, + shiny::selectInput( + inputId = "in_venn_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ), + shiny::numericInput( + inputId = "in_venn_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + width = 8, + shinycssloaders::withSpinner( + shiny::plotOutput("plot_deedee_venn") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel( + title = "INFO - venn", + shiny::includeMarkdown( + system.file("extdata", "venn.md", package = "DeeDee") + ), + style = "primary" + ) + ) + ) + }) + output$plot_deedee_venn <- shiny::renderPlot({ shiny::validate( shiny::need( @@ -1197,6 +912,59 @@ ddedde_app <- function(deedee_obj = NULL, # server - upset ----------------------------------------------------------- + output$ui_panel_upset <- renderUI({ + tagList( + shiny::fluidRow( + shiny::column( + width = 4, + shiny::selectInput( + inputId = "in_upset_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ), + shiny::conditionalPanel( + condition = "input.in_upset_mode == 'both'", + shiny::checkboxInput( + inputId = "in_upset_colored", + label = "Coloring", + value = TRUE + ) + ), + shiny::numericInput( + inputId = "in_upset_minset", + label = "Minimum set size", + value = 10, min = 0, step = 1 + ), + shiny::numericInput( + inputId = "in_upset_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + width = 8, + shinycssloaders::withSpinner( + shiny::plotOutput("plot_deedee_upset") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel( + title = "INFO - upset", + shiny::includeMarkdown( + system.file("extdata", "upset.md", package = "DeeDee") + ), + style = "primary" + ) + ) + ) + }) + output$plot_deedee_upset <- shiny::renderPlot({ shiny::validate( shiny::need( @@ -1240,6 +1008,83 @@ ddedde_app <- function(deedee_obj = NULL, # server - qq -------------------------------------------------------------- + output$ui_panel_qq <- renderUI({ + tagList( + shiny::fluidRow( + shiny::column( + width = 4, + shiny::checkboxInput( + inputId = "in_qq_multiple", + label = "Multiple", + value = FALSE + ), + shiny::conditionalPanel( + condition = "!input.in_qq_multiple", + shiny::uiOutput("ui_qq_choices1"), + shiny::uiOutput("ui_qq_choices2"), + shiny::selectInput( + inputId = "in_qq_color_by", + label = "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" + ), + shiny::checkboxInput( + inputId = "in_qq_line", + "As line", + value = FALSE) + ), + shiny::conditionalPanel( + condition = "input.in_qq_multiple", + shiny::uiOutput("ui_qq_ref"), + ), + shiny::numericInput( + inputId = "in_qq_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + width = 8, + shiny::conditionalPanel( + condition = "!input.in_qq_multiple", + shinycssloaders::withSpinner( + shiny::plotOutput( + outputId = "plot_deedee_qq", + brush = "qq_brush" + ) + ) + ), + shiny::conditionalPanel( + condition = "input.in_qq_multiple", + shinycssloaders::withSpinner( + shiny::plotOutput("plot_deedee_qq_mult") + ) + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel( + title = "INFO - qq plot", + shiny::includeMarkdown( + system.file("extdata", "qq.md", package = "DeeDee") + ), + style = "primary" + ) + ), + shiny::conditionalPanel( + condition = "!input.in_qq_multiple", + shiny::downloadButton( + outputId = "btn_qq_brush_download", + label = "Download brushed genes (.xlsx)" + ), + shiny::tableOutput("qq_brush_info") + ) + ) + }) + output$ui_qq_choices1 <- shiny::renderUI({ shiny::req( shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) @@ -1445,6 +1290,53 @@ ddedde_app <- function(deedee_obj = NULL, # server - cat ------------------------------------------------------------- + output$ui_panel_cat <- renderUI({ + tagList( + shiny::fluidRow( + shiny::column( + width = 4, + shiny::selectInput( + inputId = "in_cat_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "up" + ), + shiny::numericInput( + inputId = "in_cat_maxrank", + label = "Max rank", + value = 1000, + min = 1 + ), + shiny::uiOutput("ui_cat_choice"), + shiny::numericInput( + inputId = "in_cat_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ) + ), + shiny::column( + width = 8, + shinycssloaders::withSpinner( + shiny::plotOutput("plot_deedee_cat") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel( + title = "INFO - cat plot", + shiny::includeMarkdown( + system.file("extdata", "cat.md", package = "DeeDee") + ), + style = "primary" + ) + ) + ) + }) + output$ui_cat_choice <- shiny::renderUI({ shiny::req( shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) @@ -1499,6 +1391,169 @@ ddedde_app <- function(deedee_obj = NULL, }) # server - summary --------------------------------------------------------- + output$ui_panel_summary <- renderUI({ + tagList( + shiny::numericInput( + inputId = "sum_pthresh", + label = "P-value threshold", + value = 0.05, min = 0.01, max = 1, step = 0.01 + ), + shiny::actionButton( + inputId = "sum_button", + label = "Create Summary" + ), + shinyBS::bsModal( + id = "sum_modal", + title = "DeeDee Summary", + trigger = "sum_button", + size = "large", + shiny::fluidPage( + shiny::downloadButton( + outputId = "sum_download", + label = "Download your DeeDee Summary (.html)" + ), + shinycssloaders::withSpinner( + shiny::uiOutput("ui_show_html_summary") + ) + ) + ), + shiny::fluidRow( + shinydashboard::tabBox( + title = "", + width = 12, + id = "sum_params", + shiny::tabPanel( + "Scatterplot", + shiny::uiOutput("ui_sum_scatter_choices1"), + shiny::uiOutput("ui_sum_scatter_choices2"), + shiny::selectInput( + inputId = "sum_scatter_color_by", + label = "Color by", + choices = list( + "1st p-value" = "pval1", + "2nd p-value" = "pval2" + ), + selected = "pval1" + ) + ), + shiny::tabPanel( + title = "Heatmap", + shiny::numericInput( + inputId = "sum_heatmap_show_first", + label = "Show first", + value = 25, + min = 1 + ), + shiny::checkboxInput( + inputId = "sum_heatmap_show_gene_names", + label = "Show gene names", + value = FALSE + ), + shiny::checkboxInput( + inputId = "sum_heatmap_show_na", + label = "Show NA", + value = FALSE + ), + shiny::selectInput( + inputId = "sum_heatmap_dist", + label = "Distance measure", + choices = list( + "Euclidean" = "euclidean", + "Manhattan" = "manhattan", + "Pearson" = "pearson", + "Spearman" = "spearman" + ), + selected = "euclidean" + ), + shiny::selectInput( + inputId = "sum_heatmap_clust", + label = "Clustering method", + choices = list( + "Single" = "single", + "Complete" = "complete", + "Average" = "average", + "Centroid" = "centroid" + ), + selected = "average" + ) + ), + shiny::tabPanel( + title = "Venn Diagram", + shiny::selectInput( + inputId = "sum_venn_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ) + ), + shiny::tabPanel( + title = "UpSet Plot", + shiny::selectInput( + inputId = "sum_upset_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "both" + ), + shiny::conditionalPanel( + condition = "input.sum_upset_mode == 'both'", + shiny::checkboxInput( + inputId = "sum_upset_colored", + label = "Coloring", + value = TRUE + ) + ), + shiny::numericInput( + inputId = "sum_upset_min_setsize", + label = "Minimum set size", + value = 10, min = 0, step = 1 + ) + ), + shiny::tabPanel( + title = "Quantile-Quantile Plot", + shiny::uiOutput("ui_sum_qq_ref"), + ), + shiny::tabPanel( + title = "Concordance At the Top Plot", + shiny::selectInput( + inputId = "sum_cat_mode", + label = "Mode", + choices = list( + "Up" = "up", + "Down" = "down", + "Both" = "both" + ), + selected = "up" + ), + shiny::numericInput( + inputId = "sum_cat_maxrank", + label = "Max rank", + value = 1000, + min = 1 + ), + shiny::uiOutput("ui_sum_cat_choice") + ) + ) + ), + shinyBS::bsCollapse( + shinyBS::bsCollapsePanel( + title = "INFO - summary", + shiny::includeMarkdown( + system.file("extdata", "summary.md", package = "DeeDee") + ), + style = "primary" + ) + ) + ) + }) + output$ui_sum_scatter_choices1 <- shiny::renderUI({ shiny::req( shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) From 39c3b0f99cc50afd4aa01d22bcf6d3b103039cd2 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 19:04:46 +0100 Subject: [PATCH 088/182] moving placeholders for importing funcs --- R/DeeDeeExperiment.R | 29 +++++++++++++++-------------- 1 file changed, 15 insertions(+), 14 deletions(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 3232bd3..e7ceb4c 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -130,6 +130,21 @@ de_list_checker <- function(del) { } +.importDE_edgeR <- function(x) { + +} + +.importDE_limma <- function(x) { + +} + +.importDE_custom <- function(x) { + +} + + + + deedee_import <- function(x) { # legacy code: @@ -161,17 +176,3 @@ deedee_import <- function(x) { } -.importDE_edgeR <- function(x) { - -} - -.importDE_limma <- function(x) { - -} - -.importDE_custom <- function(x) { - -} - - - From fc3b966d37ac1bbc4769f31a98246c4fc9571980 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 19:08:56 +0100 Subject: [PATCH 089/182] additional shiny imports to handle --- NAMESPACE | 3 +++ R/DeeDee-pkg.R | 6 +++--- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index f638e2a..d917376 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -105,12 +105,14 @@ importFrom(shiny,plotOutput) importFrom(shiny,reactive) importFrom(shiny,reactiveValues) importFrom(shiny,renderPlot) +importFrom(shiny,renderPrint) importFrom(shiny,renderTable) importFrom(shiny,renderText) importFrom(shiny,renderUI) importFrom(shiny,req) importFrom(shiny,selectInput) importFrom(shiny,shinyApp) +importFrom(shiny,showNotification) importFrom(shiny,tabPanel) importFrom(shiny,tableOutput) importFrom(shiny,tagList) @@ -118,6 +120,7 @@ importFrom(shiny,tags) importFrom(shiny,textOutput) importFrom(shiny,uiOutput) importFrom(shiny,validate) +importFrom(shiny,verbatimTextOutput) importFrom(shinyBS,bsCollapse) importFrom(shinyBS,bsCollapsePanel) importFrom(shinyBS,bsModal) diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index ed48f90..b35fe5a 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -26,9 +26,9 @@ #' @importFrom shiny actionButton brushedPoints brushOpts checkboxGroupInput #' checkboxInput column conditionalPanel downloadButton downloadHandler #' fileInput fluidRow HTML includeMarkdown navbarPage need numericInput -#' observeEvent plotOutput reactive reactiveValues renderPlot renderTable -#' renderText renderUI req selectInput shinyApp tableOutput tabPanel -#' tagList tags textOutput uiOutput validate +#' observeEvent plotOutput reactive reactiveValues renderPlot renderPrint renderTable +#' renderText renderUI req selectInput showNotification shinyApp tableOutput tabPanel +#' tagList tags textOutput uiOutput validate verbatimTextOutput #' @importFrom shinyBS bsCollapse bsCollapsePanel bsModal #' @importFrom shinycssloaders withSpinner #' @importFrom shinythemes shinytheme From 600d06d8646074e1add4ae48cd783a6bbc57f318 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 19:27:44 +0100 Subject: [PATCH 090/182] complete example --- inst/scripts/create_datasets_example.R | 1 + 1 file changed, 1 insertion(+) diff --git a/inst/scripts/create_datasets_example.R b/inst/scripts/create_datasets_example.R index 361d7ab..46fc039 100644 --- a/inst/scripts/create_datasets_example.R +++ b/inst/scripts/create_datasets_example.R @@ -127,4 +127,5 @@ del <- list( # save(del, file = "data/de_named_list.RData", compress = "xz") data("de_named_list", package = "DeeDee") +dde <- DeeDeeExperiment(se_macrophage_noassays, de_results = del) From b9f0d7a44106e93adb4228a3906e54d62ca82f32 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 19:28:15 +0100 Subject: [PATCH 091/182] changing the req()uirements for each panel to display, now using the dde object --- R/DeeDee-app.R | 135 ++++++++++++++++++++++++++++--------------------- 1 file changed, 77 insertions(+), 58 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index dba36d7..a346175 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -357,9 +357,10 @@ ddedde_app <- function(deedee_obj = NULL, output$btn_inp_download <- shiny::downloadHandler( filename = "DeeDee_object.RDS", content = function(file) { - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) dl <- DeeDeeLegacy::DeeDeeObject(DeeDeeList = mydata_use()) saveRDS(dl, file) } @@ -455,9 +456,10 @@ ddedde_app <- function(deedee_obj = NULL, }) output$ui_scatter_choices1 <- shiny::renderUI({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::selectInput( inputId = "in_scatter_select1", label = "1st data set", @@ -466,9 +468,10 @@ ddedde_app <- function(deedee_obj = NULL, }) output$ui_scatter_choices2 <- shiny::renderUI({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::selectInput( inputId = "in_scatter_select2", label = "2nd data set", @@ -584,9 +587,10 @@ ddedde_app <- function(deedee_obj = NULL, # --- enrich --- enrich <- shiny::reactive({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::validate( shiny::need( scatter_brushed(), @@ -752,11 +756,12 @@ ddedde_app <- function(deedee_obj = NULL, }) heatmap_output <- shiny::reactive({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::req(input$in_heatmap_show_first) - shiny::req(mydata_use()) + # shiny::req(mydata_use()) res <- ddedde_heatmap( my_deedee_use(), show_first = input$in_heatmap_show_first, @@ -891,9 +896,10 @@ ddedde_app <- function(deedee_obj = NULL, ) ) - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) res <- ddedde_venn( my_deedee_use(), mode = input$in_venn_mode, @@ -981,9 +987,10 @@ ddedde_app <- function(deedee_obj = NULL, ) ) - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) if (input$in_upset_mode == "both" && input$in_upset_colored) { mode <- "both_colored" } else { @@ -1086,9 +1093,10 @@ ddedde_app <- function(deedee_obj = NULL, }) output$ui_qq_choices1 <- shiny::renderUI({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::selectInput( inputId = "in_qq_select1", label = "1st data set", @@ -1097,9 +1105,10 @@ ddedde_app <- function(deedee_obj = NULL, }) output$ui_qq_choices2 <- shiny::renderUI({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::selectInput( inputId = "in_qq_select2", label = "2nd data set", @@ -1109,9 +1118,10 @@ ddedde_app <- function(deedee_obj = NULL, }) output$ui_qq_ref <- shiny::renderUI({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::selectInput( inputId = "in_qq_reference", label = "Reference", @@ -1135,9 +1145,10 @@ ddedde_app <- function(deedee_obj = NULL, ) ) - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) sel1 <- match(input$in_qq_select1, names(dea(my_deedee_use()))) sel2 <- match(input$in_qq_select2, names(dea(my_deedee_use()))) shiny::req(sel1) @@ -1177,9 +1188,10 @@ ddedde_app <- function(deedee_obj = NULL, ) ) - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) ref <- match(input$in_qq_reference, names(dea(my_deedee_use()))) shiny::req(ref) res <- ddedde_qqmult( @@ -1338,9 +1350,10 @@ ddedde_app <- function(deedee_obj = NULL, }) output$ui_cat_choice <- shiny::renderUI({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::selectInput( inputId = "in_cat_ref", label = "Reference contrast", @@ -1365,9 +1378,10 @@ ddedde_app <- function(deedee_obj = NULL, ) ) - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::req(input$in_cat_maxrank) shiny::req(input$in_cat_ref) @@ -1555,32 +1569,35 @@ ddedde_app <- function(deedee_obj = NULL, }) output$ui_sum_scatter_choices1 <- shiny::renderUI({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::selectInput( inputId = "sum_scatter_select1", label = "1st data set", - choices = names(mydata_use()) + choices = names(dea(my_deedee_use())) ) }) output$ui_sum_scatter_choices2 <- shiny::renderUI({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::selectInput( inputId = "sum_scatter_select2", label = "2nd data set", - selected = names(mydata_use())[2], - choices = names(mydata_use()) + selected = names(dea(my_deedee_use()))[2], + choices = names(dea(my_deedee_use())) ) }) output$ui_sum_qq_ref <- shiny::renderUI({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::selectInput( inputId = "sum_qqmult_ref", label = "Reference", @@ -1590,9 +1607,10 @@ ddedde_app <- function(deedee_obj = NULL, }) output$ui_sum_cat_choice <- shiny::renderUI({ - shiny::req( - shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) - ) + # shiny::req( + # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) + # ) + shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::selectInput( inputId = "sum_cat_ref", label = "Reference contrast", @@ -1617,6 +1635,7 @@ ddedde_app <- function(deedee_obj = NULL, ) ) + # TODO: update summary code from here shiny::req(mydata_use()) outfile <- tempfile(fileext = ".html") From 9c89ee98a9a114340077ab6a0cf87ecae19efb1e Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 21:18:03 +0100 Subject: [PATCH 092/182] fixing buildup script --- inst/scripts/create_datasets_example.R | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/inst/scripts/create_datasets_example.R b/inst/scripts/create_datasets_example.R index 46fc039..774ef3e 100644 --- a/inst/scripts/create_datasets_example.R +++ b/inst/scripts/create_datasets_example.R @@ -20,6 +20,7 @@ se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rownames(se_macrophage) ) +rownames(se_macrophage_noassays) <- rownames(se_macrophage) anno_df <- data.frame( gene_id = rownames(dds_macrophage), @@ -40,10 +41,6 @@ keep <- rowSums(counts(dds_macrophage) >= 10) >= 6 dds_macrophage <- dds_macrophage[keep, ] dds_unnormalized <- dds_macrophage -se_macrophage_noassays <- SummarizedExperiment( - assays = SimpleList(), - rowData = rownames(se_macrophage) -) dds_macrophage <- DESeq(dds_macrophage) @@ -56,6 +53,7 @@ summary(res_macrophage_IFNg_vs_naive) res_macrophage_IFNg_vs_naive$SYMBOL <- rowData(dds_macrophage)$SYMBOL se_macrophage <- se_macrophage[keep, ] +se_macrophage_noassays <- se_macrophage_noassays[keep, ] colData(se_macrophage) rowData(se_macrophage) From 8c89322115701b0ab8b09f0695cee2e44cfdb6d3 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:20:54 +0100 Subject: [PATCH 093/182] some checks for de results to be provided --- R/DeeDeeExperiment.R | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index e7ceb4c..f7b513c 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -144,6 +144,24 @@ de_list_checker <- function(del) { +.check_de_results <- function(x) { + # checks that: + # it is a list + # its component are either of the expected/accepted elements + # checks their columns? + + stopifnot(is.list(x)) + stopifnot(length(x) > 0) + + ok_types <- unlist(lapply(x, function(arg) { + is(arg, "DESeqResults") | is(arg, "DGEExact") + })) + + stopifnot(all(ok_types)) + + return(TRUE) +} + deedee_import <- function(x) { From 27682302f137eb51340e3ceb37c2fb055f842551 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:21:23 +0100 Subject: [PATCH 094/182] using importer for DESeq2 --- R/DeeDeeExperiment.R | 96 ++++++++++++++++++++++++++------------------ 1 file changed, 58 insertions(+), 38 deletions(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index f7b513c..80da471 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -49,7 +49,7 @@ DeeDeeExperiment <- function(se, # TODO: additional checks - dde <- se + se_out <- se # here is where I add the names in the rowData to make all info matched # checks on the names @@ -57,7 +57,7 @@ DeeDeeExperiment <- function(se, # if not there, "force add" # TODO - dde_ids <- rownames(dde) + dde_ids <- rownames(se_out) dea_contrasts <- list() @@ -66,32 +66,38 @@ DeeDeeExperiment <- function(se, # do different things according to what these objects are if(is(this_de, "DESeqResults")) { - matched_ids <- match(rownames(dde), dde_ids) - - # if not tested, add NA - everywhere? -> pre-fill? - rowData(dde)[[paste0(i,"_log2FoldChange")]] <- NA - rowData(dde)[[paste0(i,"_pvalue")]] <- NA - rowData(dde)[[paste0(i,"_padj")]] <- NA - - rowData(dde)[[paste0(i,"_log2FoldChange")]][matched_ids] <- this_de$log2FoldChange - rowData(dde)[[paste0(i,"_pvalue")]][matched_ids] <- this_de$pvalue - rowData(dde)[[paste0(i,"_padj")]][matched_ids] <- this_de$padj - - dea_contrasts[[i]] <- list( - alpha = metadata(this_de)$alpha, - lfcThreshold = metadata(this_de)$lfcThreshold, - metainfo_logFC = mcols(this_de)$description[colnames(this_de) == "log2FoldChange"], - metainfo_pvalue = mcols(this_de)$description[colnames(this_de) == "pvalue"], - original_object = this_de, - package = "DESeq2" - ) + + + input_deseq2 <- .importDE_DESeq2(se_out, this_de, i) + se_out <- input_deseq2$se + dea_contrasts[[i]] <- input_deseq2$dea_contrast + + # matched_ids <- match(rownames(se_out), rownames(this_de)) + # + # # if not tested, add NA - everywhere? -> pre-fill? + # rowData(se_out)[[paste0(i,"_log2FoldChange")]] <- NA + # rowData(se_out)[[paste0(i,"_pvalue")]] <- NA + # rowData(se_out)[[paste0(i,"_padj")]] <- NA + # + # rowData(se_out)[[paste0(i,"_log2FoldChange")]][matched_ids] <- this_de$log2FoldChange + # rowData(se_out)[[paste0(i,"_pvalue")]][matched_ids] <- this_de$pvalue + # rowData(se_out)[[paste0(i,"_padj")]][matched_ids] <- this_de$padj + # + # dea_contrasts[[i]] <- list( + # alpha = metadata(this_de)$alpha, + # lfcThreshold = metadata(this_de)$lfcThreshold, + # metainfo_logFC = mcols(this_de)$description[colnames(this_de) == "log2FoldChange"], + # metainfo_pvalue = mcols(this_de)$description[colnames(this_de) == "pvalue"], + # original_object = this_de, + # package = "DESeq2" + # ) } } # rowData(dde)[["new_rd"]] <- de_name object <- new("DeeDeeExperiment", - dde, + se_out, dea = dea_contrasts ) @@ -105,28 +111,42 @@ DeeDeeExperiment <- function(se, - -#' Title -#' -#' @param del todo -#' -#' @return todo -#' @export -#' -#' @examples -#' # todo -de_list_checker <- function(del) { - # check that all things are as expected/expectable -} - - -.importDE_DESeq2 <- function(x) { +#' extends the rowData slot of the provided SE and returns also metadata +.importDE_DESeq2 <- function(se, res_de, de_name) { # checks TODO: # correct object format # contain the right columns # contain the feature ids # p value respect the 0-1 interval + + matched_ids <- match(rownames(se), rownames(res_de)) + + # if not tested, add NA - everywhere? -> pre-fill? + rowData(se)[[paste0(de_name,"_log2FoldChange")]] <- NA + rowData(se)[[paste0(de_name,"_pvalue")]] <- NA + rowData(se)[[paste0(de_name,"_padj")]] <- NA + + rowData(se)[[paste0(de_name,"_log2FoldChange")]][matched_ids] <- res_de$log2FoldChange + rowData(se)[[paste0(de_name,"_pvalue")]][matched_ids] <- res_de$pvalue + rowData(se)[[paste0(de_name,"_padj")]][matched_ids] <- res_de$padj + + dea_contrast <- list( + alpha = metadata(res_de)$alpha, + lfcThreshold = metadata(res_de)$lfcThreshold, + metainfo_logFC = mcols(res_de)$description[colnames(res_de) == "log2FoldChange"], + metainfo_pvalue = mcols(res_de)$description[colnames(res_de) == "pvalue"], + original_object = res_de, + # object_name = deparse(substitute(res_de)), + package = "DESeq2" + ) + + return( + list( + se = se, + dea_contrast = dea_contrast + ) + ) } From 26120c9b9fbc3646d2719a469cb99c792a5c87ba Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:21:43 +0100 Subject: [PATCH 095/182] trying to handle the case where a mock SE needs to be created --- R/DeeDeeExperiment.R | 48 +++++++++++++++++++++++++++++++++++++------- 1 file changed, 41 insertions(+), 7 deletions(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 80da471..a0a24e4 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -14,17 +14,51 @@ #' #' @examples #' # todo -DeeDeeExperiment <- function(se, +DeeDeeExperiment <- function(se = NULL, de_results = NULL) { - # se <- SummarizedExperiment(...) + # old <- S4Vectors:::disableValidity() + # if (!isTRUE(old)) { + # S4Vectors:::disableValidity(TRUE) + # on.exit(S4Vectors:::disableValidity(old)) + # } - if (!is(se, "RangedSummarizedExperiment")) { - if (is(se, "SummarizedExperiment")) { - se <- as(se, "RangedSummarizedExperiment") - } else { - stop("'se' must be a RangedSummarizedExperiment object") + if (!is.null(de_results)) + .check_de_results(de_results) + + # se <- SummarizedExperiment(...) + if(!is.null(se)) { + if (!is(se, "RangedSummarizedExperiment")) { + if (is(se, "SummarizedExperiment")) { + se <- as(se, "RangedSummarizedExperiment") + } else { + stop("'se' must be a RangedSummarizedExperiment object") + } } + } else { + if(is.null(de_results)) + stop("You have to provide at least an se object or a de_results object") + + message("TODO: needs to create a mock SE that does not break the creation later?!") + ## mock - todo ## # mock up the se from the de_results + ## mock - todo ## first_de <- de_results[[1]] + ## mock - todo ## + ## mock - todo ## # independently of the class, the feature names are in the rownames slot, TODO: check + ## mock - todo ## ids <- rownames(first_de) + ## mock - todo ## + ## mock - todo ## rd_mock <- DataFrame( + ## mock - todo ## gene_id = ids, + ## mock - todo ## row.names = ids) + ## mock - todo ## + ## mock - todo ## # way1 + ## mock - todo ## se_mock <- SummarizedExperiment( + ## mock - todo ## assays = SimpleList(), + ## mock - todo ## rowData = rd_mock + ## mock - todo ## ) + ## mock - todo ## # se_mock@NAMES <- NULL + ## mock - todo ## # rownames(se_mock) <- ids + ## mock - todo ## + ## mock - todo ## se <- se_mock } # TODO: if no SE is really provided, instantiate some rownames, at least directly From fdea24be086929bf0b6dc19b4323e5b4766da581 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:22:01 +0100 Subject: [PATCH 096/182] re-rendering manpages --- man/DeeDeeExperiment.Rd | 2 +- man/de_list_checker.Rd | 20 -------------------- 2 files changed, 1 insertion(+), 21 deletions(-) delete mode 100644 man/de_list_checker.Rd diff --git a/man/DeeDeeExperiment.Rd b/man/DeeDeeExperiment.Rd index 28bf9ef..80cc932 100644 --- a/man/DeeDeeExperiment.Rd +++ b/man/DeeDeeExperiment.Rd @@ -6,7 +6,7 @@ \alias{DeeDeeExperiment} \title{DeeDeeExperiment} \usage{ -DeeDeeExperiment(se, de_results = NULL) +DeeDeeExperiment(se = NULL, de_results = NULL) } \arguments{ \item{se}{SumExp} diff --git a/man/de_list_checker.Rd b/man/de_list_checker.Rd deleted file mode 100644 index 6e68ca3..0000000 --- a/man/de_list_checker.Rd +++ /dev/null @@ -1,20 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDeeExperiment.R -\name{de_list_checker} -\alias{de_list_checker} -\title{Title} -\usage{ -de_list_checker(del) -} -\arguments{ -\item{del}{todo} -} -\value{ -todo -} -\description{ -Title -} -\examples{ -# todo -} From 9f2c2a6a2dbe3542b3be4f38c3000af82093b4ac Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:23:07 +0100 Subject: [PATCH 097/182] cleanup namespace --- NAMESPACE | 1 - R/DeeDeeExperiment.R | 2 +- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index d917376..5cbc607 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -13,7 +13,6 @@ export(ddedde_scatter) export(ddedde_summary) export(ddedde_upset) export(ddedde_venn) -export(de_list_checker) export(dea) export(get_dea_df) export(get_dea_list) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index a0a24e4..f3fdd62 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -145,7 +145,7 @@ DeeDeeExperiment <- function(se = NULL, -#' extends the rowData slot of the provided SE and returns also metadata +# extends the rowData slot of the provided SE and returns also metadata .importDE_DESeq2 <- function(se, res_de, de_name) { # checks TODO: # correct object format From 410a31f70ee7ad84ec2e698651302345123e4182 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:25:07 +0100 Subject: [PATCH 098/182] adding manpage for app --- man/ddedde_app.Rd | 45 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 45 insertions(+) create mode 100644 man/ddedde_app.Rd diff --git a/man/ddedde_app.Rd b/man/ddedde_app.Rd new file mode 100644 index 0000000..0980207 --- /dev/null +++ b/man/ddedde_app.Rd @@ -0,0 +1,45 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee-app.R +\name{ddedde_app} +\alias{ddedde_app} +\title{DeeDee App} +\usage{ +ddedde_app(deedee_obj = NULL, dde = NULL) +} +\arguments{ +\item{deedee_obj}{An object of the class DeeDeeExperiment to be analyzed.} + +\item{dde}{An object of the class DeeDeeExperiment to be analyzed.} +} +\value{ +A shiny app +} +\description{ +\code{deedee_app} opens the DeeDee Shiny web application, combining +the functionalities of all other DeeDee functions with a user-friendly +graphical user interface. +} +\examples{ + +data(DE_results_IFNg_naive, package = "DeeDee") +# IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") + +data(DE_results_IFNg_both, package = "DeeDee") +# IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") + +data(DE_results_Salm_naive, package = "DeeDee") +# Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") + +data(DE_results_Salm_both, package = "DeeDee") +# Salm_both <- deedee_prepare(Salm_both, "DESeq2") + +# dd_list <- list( +# IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, +# Salm_naive = Salm_naive, Salm_both = Salm_both +# ) + +if (interactive()) { + # deedee_app(dd_list) + # ddedde_app(deedee_obj = DeeDeeLegacy::DeeDeeObject(DeeDeeList = dd_list_original)) +} +} From f04d2388ec3384c44849086fc11da76039e50db4 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:25:25 +0100 Subject: [PATCH 099/182] rewriting "real" example for running the app --- R/DeeDee-app.R | 33 +++++++++++++++------------------ man/ddedde_app.Rd | 33 +++++++++++++++------------------ 2 files changed, 30 insertions(+), 36 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index a346175..bca585e 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -11,27 +11,24 @@ #' @export #' #' @examples +#' data("de_named_list", package = "DeeDee") +#' library("SummarizedExperiment") #' -#' data(DE_results_IFNg_naive, package = "DeeDee") -#' # IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") -#' -#' data(DE_results_IFNg_both, package = "DeeDee") -#' # IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") -#' -#' data(DE_results_Salm_naive, package = "DeeDee") -#' # Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") -#' -#' data(DE_results_Salm_both, package = "DeeDee") -#' # Salm_both <- deedee_prepare(Salm_both, "DESeq2") -#' -#' # dd_list <- list( -#' # IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -#' # Salm_naive = Salm_naive, Salm_both = Salm_both -#' # ) +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' de_results = del +#' ) +#' dde #' #' if (interactive()) { -#' # deedee_app(dd_list) -#' # ddedde_app(deedee_obj = DeeDeeLegacy::DeeDeeObject(DeeDeeList = dd_list_original)) +#' ddedde_app(dde = dde) #' } ddedde_app <- function(deedee_obj = NULL, dde = NULL) { diff --git a/man/ddedde_app.Rd b/man/ddedde_app.Rd index 0980207..0d8c873 100644 --- a/man/ddedde_app.Rd +++ b/man/ddedde_app.Rd @@ -20,26 +20,23 @@ the functionalities of all other DeeDee functions with a user-friendly graphical user interface. } \examples{ +data("de_named_list", package = "DeeDee") +library("SummarizedExperiment") -data(DE_results_IFNg_naive, package = "DeeDee") -# IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") - -data(DE_results_IFNg_both, package = "DeeDee") -# IFNg_both <- deedee_prepare(IFNg_both, "DESeq2") - -data(DE_results_Salm_naive, package = "DeeDee") -# Salm_naive <- deedee_prepare(Salm_naive, "DESeq2") - -data(DE_results_Salm_both, package = "DeeDee") -# Salm_both <- deedee_prepare(Salm_both, "DESeq2") - -# dd_list <- list( -# IFNg_naive = IFNg_naive, IFNg_both = IFNg_both, -# Salm_naive = Salm_naive, Salm_both = Salm_both -# ) +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) +dde <- DeeDeeExperiment( + se_macrophage_noassays, + de_results = del +) +dde if (interactive()) { - # deedee_app(dd_list) - # ddedde_app(deedee_obj = DeeDeeLegacy::DeeDeeObject(DeeDeeList = dd_list_original)) + ddedde_app(dde = dde) } } From a6f4d6857f0281d936ffa5d9da3b9ec6087dd845 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:26:17 +0100 Subject: [PATCH 100/182] expanding on the app example --- R/DeeDee-app.R | 5 +++++ man/ddedde_app.Rd | 5 +++++ 2 files changed, 10 insertions(+) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index bca585e..1c8abfc 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -30,6 +30,11 @@ #' if (interactive()) { #' ddedde_app(dde = dde) #' } +#' +#' # one can provide the DeeDeeExperiment object also at runtime +#' if (interactive()) { +#' ddedde_app() +#' } ddedde_app <- function(deedee_obj = NULL, dde = NULL) { diff --git a/man/ddedde_app.Rd b/man/ddedde_app.Rd index 0d8c873..557c680 100644 --- a/man/ddedde_app.Rd +++ b/man/ddedde_app.Rd @@ -39,4 +39,9 @@ dde if (interactive()) { ddedde_app(dde = dde) } + +# one can provide the DeeDeeExperiment object also at runtime +if (interactive()) { + ddedde_app() +} } From caf65da90c5034ed12aecf1b07ebd7f0e82223e5 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:39:42 +0100 Subject: [PATCH 101/182] setting up full basic examples for each of the core visualization functions --- R/DeeDee_cat.R | 5 ++--- R/DeeDee_heatmap.R | 12 +++++++----- R/DeeDee_qq.R | 6 +++--- R/DeeDee_qqmult.R | 8 +++----- R/DeeDee_scatter.R | 1 + R/DeeDee_summary.R | 4 ++-- R/DeeDee_upset.R | 5 +---- R/DeeDee_venn.R | 6 ++---- 8 files changed, 21 insertions(+), 26 deletions(-) diff --git a/R/DeeDee_cat.R b/R/DeeDee_cat.R index 2f8e5ce..200a8fb 100644 --- a/R/DeeDee_cat.R +++ b/R/DeeDee_cat.R @@ -1,6 +1,3 @@ - -#' deedee_cat(dd_list_original, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) - #' Title #' #' @param dde todo @@ -28,6 +25,8 @@ #' de_results = del #' ) #' dde +#' +#' ddedde_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) ddedde_cat <- function(dde, ref = 1, maxrank = 1000, diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R index 2fca5ba..ff34084 100644 --- a/R/DeeDee_heatmap.R +++ b/R/DeeDee_heatmap.R @@ -1,9 +1,4 @@ -#' deedee_heatmap(dd_list_original, -#' pthresh = 0.05, show_first = 25, -#' show_gene_names = FALSE, dist = "euclidean", -#' clust = "average", show_na = FALSE -#' ) #' Title @@ -35,6 +30,13 @@ #' de_results = del #' ) #' dde +#' +#' ddedde_heatmap(dde, +#' pthresh = 0.05, show_first = 25, +#' show_gene_names = FALSE, dist = "euclidean", +#' clust = "average", show_na = FALSE +#' ) +#' ddedde_heatmap <- function(dde, show_first = 25, show_gene_names = FALSE, diff --git a/R/DeeDee_qq.R b/R/DeeDee_qq.R index 5851687..174228e 100644 --- a/R/DeeDee_qq.R +++ b/R/DeeDee_qq.R @@ -1,6 +1,3 @@ - -#' deedee_qq(dd_list_original, pthresh = 0.05, select = 1, select2 = 2, color_by = "pval1") - #' Title #' #' @param dde todo @@ -29,6 +26,9 @@ #' de_results = del #' ) #' dde +#' +#' ddedde_qq(dde) +#' ddedde_qq <- function(dde, select1 = 1, select2 = 2, diff --git a/R/DeeDee_qqmult.R b/R/DeeDee_qqmult.R index c7c04f7..5c80221 100644 --- a/R/DeeDee_qqmult.R +++ b/R/DeeDee_qqmult.R @@ -1,8 +1,3 @@ -#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 1) -#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 2) -#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 3) -#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 4) - #' Title #' #' @param dde todo @@ -28,6 +23,9 @@ #' de_results = del #' ) #' dde +#' +#' ddedde_qqmult(dde, pthresh = 0.05, ref = 1) +#' ddedde_qqmult <- function(dde, ref = 1, pthresh = 0.05) { diff --git a/R/DeeDee_scatter.R b/R/DeeDee_scatter.R index d59b7b6..90bb831 100644 --- a/R/DeeDee_scatter.R +++ b/R/DeeDee_scatter.R @@ -25,6 +25,7 @@ #' de_results = del #' ) #' dde +#' #' ddedde_scatter(dde, 1, 3, color_by = "pval2") #' ddedde_scatter(dde, 1, 2) #' ddedde_scatter(dde, 1, 4) diff --git a/R/DeeDee_summary.R b/R/DeeDee_summary.R index 3bf0011..9b969e8 100644 --- a/R/DeeDee_summary.R +++ b/R/DeeDee_summary.R @@ -1,5 +1,3 @@ -#' deedee_summary(dd_list_original) - #' Title #' #' @param dde todo @@ -44,6 +42,8 @@ #' de_results = del #' ) #' dde +#' +#' # ddedde_summary(dde) ddedde_summary <- function(dde, template = system.file("extdata", "summary_template.Rmd", diff --git a/R/DeeDee_upset.R b/R/DeeDee_upset.R index 6e7254f..e419fe4 100644 --- a/R/DeeDee_upset.R +++ b/R/DeeDee_upset.R @@ -1,7 +1,3 @@ - - -#' deedee_upset(dd_list_original, pthresh = 0.05, mode = "both_colored", min_setsize = 10) - #' Title #' #' @param dde todo @@ -28,6 +24,7 @@ #' de_results = del #' ) #' dde +#' ddedde_upset(dde, pthresh = 0.05, mode = "both_colored", min_setsize = 10) ddedde_upset <- function(dde, mode = "both_colored", min_setsize = 10, diff --git a/R/DeeDee_venn.R b/R/DeeDee_venn.R index 65ae922..3dcd975 100644 --- a/R/DeeDee_venn.R +++ b/R/DeeDee_venn.R @@ -1,7 +1,3 @@ - - -#' deedee_venn(dd_list_original, pthresh = 0.05, mode = "both") - #' Title #' #' @param dde todo @@ -27,6 +23,8 @@ #' de_results = del #' ) #' dde +#' +#' ddedde_venn(dde, pthresh = 0.05, mode = "both") ddedde_venn <- function(dde, mode = "both", pthresh = 0.05) { From 0bf972b7887b07dce6272d74028ed1b0600f82f8 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:39:55 +0100 Subject: [PATCH 102/182] updated examples in docs --- man/ddedde_cat.Rd | 6 +++--- man/ddedde_heatmap.Rd | 19 ++++++++----------- man/ddedde_qq.Rd | 7 ++++--- man/ddedde_qqmult.Rd | 13 ++++--------- man/ddedde_scatter.Rd | 1 + man/ddedde_summary.Rd | 6 +++--- man/ddedde_upset.Rd | 5 ++--- man/ddedde_venn.Rd | 6 +++--- 8 files changed, 28 insertions(+), 35 deletions(-) diff --git a/man/ddedde_cat.Rd b/man/ddedde_cat.Rd index a7beb7d..925e09c 100644 --- a/man/ddedde_cat.Rd +++ b/man/ddedde_cat.Rd @@ -2,8 +2,7 @@ % Please edit documentation in R/DeeDee_cat.R \name{ddedde_cat} \alias{ddedde_cat} -\title{deedee_cat(dd_list_original, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) -Title} +\title{Title} \usage{ ddedde_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) } @@ -22,7 +21,6 @@ ddedde_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) todo } \description{ -deedee_cat(dd_list_original, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) Title } \examples{ @@ -41,4 +39,6 @@ dde <- DeeDeeExperiment( de_results = del ) dde + +ddedde_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) } diff --git a/man/ddedde_heatmap.Rd b/man/ddedde_heatmap.Rd index 22c0d74..47aff7d 100644 --- a/man/ddedde_heatmap.Rd +++ b/man/ddedde_heatmap.Rd @@ -2,12 +2,7 @@ % Please edit documentation in R/DeeDee_heatmap.R \name{ddedde_heatmap} \alias{ddedde_heatmap} -\title{deedee_heatmap(dd_list_original, -pthresh = 0.05, show_first = 25, -show_gene_names = FALSE, dist = "euclidean", -clust = "average", show_na = FALSE -) -Title} +\title{Title} \usage{ ddedde_heatmap( dde, @@ -38,11 +33,6 @@ ddedde_heatmap( todo } \description{ -deedee_heatmap(dd_list_original, -pthresh = 0.05, show_first = 25, -show_gene_names = FALSE, dist = "euclidean", -clust = "average", show_na = FALSE -) Title } \examples{ @@ -61,4 +51,11 @@ dde <- DeeDeeExperiment( de_results = del ) dde + +ddedde_heatmap(dde, + pthresh = 0.05, show_first = 25, + show_gene_names = FALSE, dist = "euclidean", + clust = "average", show_na = FALSE +) + } diff --git a/man/ddedde_qq.Rd b/man/ddedde_qq.Rd index 8d0a3c3..8c6be46 100644 --- a/man/ddedde_qq.Rd +++ b/man/ddedde_qq.Rd @@ -2,8 +2,7 @@ % Please edit documentation in R/DeeDee_qq.R \name{ddedde_qq} \alias{ddedde_qq} -\title{deedee_qq(dd_list_original, pthresh = 0.05, select = 1, select2 = 2, color_by = "pval1") -Title} +\title{Title} \usage{ ddedde_qq( dde, @@ -31,7 +30,6 @@ ddedde_qq( todo } \description{ -deedee_qq(dd_list_original, pthresh = 0.05, select = 1, select2 = 2, color_by = "pval1") Title } \examples{ @@ -50,4 +48,7 @@ dde <- DeeDeeExperiment( de_results = del ) dde + +ddedde_qq(dde) + } diff --git a/man/ddedde_qqmult.Rd b/man/ddedde_qqmult.Rd index 2208577..e908d23 100644 --- a/man/ddedde_qqmult.Rd +++ b/man/ddedde_qqmult.Rd @@ -2,11 +2,7 @@ % Please edit documentation in R/DeeDee_qqmult.R \name{ddedde_qqmult} \alias{ddedde_qqmult} -\title{deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 1) -deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 2) -deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 3) -deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 4) -Title} +\title{Title} \usage{ ddedde_qqmult(dde, ref = 1, pthresh = 0.05) } @@ -21,10 +17,6 @@ ddedde_qqmult(dde, ref = 1, pthresh = 0.05) todo } \description{ -deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 1) -deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 2) -deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 3) -deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 4) Title } \examples{ @@ -43,4 +35,7 @@ dde <- DeeDeeExperiment( de_results = del ) dde + +ddedde_qqmult(dde, pthresh = 0.05, ref = 1) + } diff --git a/man/ddedde_scatter.Rd b/man/ddedde_scatter.Rd index faab1bd..5a5a612 100644 --- a/man/ddedde_scatter.Rd +++ b/man/ddedde_scatter.Rd @@ -45,6 +45,7 @@ dde <- DeeDeeExperiment( de_results = del ) dde + ddedde_scatter(dde, 1, 3, color_by = "pval2") ddedde_scatter(dde, 1, 2) ddedde_scatter(dde, 1, 4) diff --git a/man/ddedde_summary.Rd b/man/ddedde_summary.Rd index 53a1575..153c596 100644 --- a/man/ddedde_summary.Rd +++ b/man/ddedde_summary.Rd @@ -2,8 +2,7 @@ % Please edit documentation in R/DeeDee_summary.R \name{ddedde_summary} \alias{ddedde_summary} -\title{deedee_summary(dd_list_original) -Title} +\title{Title} \usage{ ddedde_summary( dde, @@ -79,7 +78,6 @@ ddedde_summary( todo } \description{ -deedee_summary(dd_list_original) Title } \examples{ @@ -98,4 +96,6 @@ dde <- DeeDeeExperiment( de_results = del ) dde + +# ddedde_summary(dde) } diff --git a/man/ddedde_upset.Rd b/man/ddedde_upset.Rd index ac7aeaf..91c34d0 100644 --- a/man/ddedde_upset.Rd +++ b/man/ddedde_upset.Rd @@ -2,8 +2,7 @@ % Please edit documentation in R/DeeDee_upset.R \name{ddedde_upset} \alias{ddedde_upset} -\title{deedee_upset(dd_list_original, pthresh = 0.05, mode = "both_colored", min_setsize = 10) -Title} +\title{Title} \usage{ ddedde_upset(dde, mode = "both_colored", min_setsize = 10, pthresh = 0.05) } @@ -20,7 +19,6 @@ ddedde_upset(dde, mode = "both_colored", min_setsize = 10, pthresh = 0.05) todo } \description{ -deedee_upset(dd_list_original, pthresh = 0.05, mode = "both_colored", min_setsize = 10) Title } \examples{ @@ -39,4 +37,5 @@ dde <- DeeDeeExperiment( de_results = del ) dde +ddedde_upset(dde, pthresh = 0.05, mode = "both_colored", min_setsize = 10) } diff --git a/man/ddedde_venn.Rd b/man/ddedde_venn.Rd index 2477c17..bd67d5a 100644 --- a/man/ddedde_venn.Rd +++ b/man/ddedde_venn.Rd @@ -2,8 +2,7 @@ % Please edit documentation in R/DeeDee_venn.R \name{ddedde_venn} \alias{ddedde_venn} -\title{deedee_venn(dd_list_original, pthresh = 0.05, mode = "both") -Title} +\title{Title} \usage{ ddedde_venn(dde, mode = "both", pthresh = 0.05) } @@ -18,7 +17,6 @@ ddedde_venn(dde, mode = "both", pthresh = 0.05) todo } \description{ -deedee_venn(dd_list_original, pthresh = 0.05, mode = "both") Title } \examples{ @@ -37,4 +35,6 @@ dde <- DeeDeeExperiment( de_results = del ) dde + +ddedde_venn(dde, pthresh = 0.05, mode = "both") } From 3c0b9049c0d4ddee6f3a6e70ab7c7157fd20ce6a Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:40:59 +0100 Subject: [PATCH 103/182] setting up pkgdown for usage --- .Rbuildignore | 3 +++ .gitignore | 1 + 2 files changed, 4 insertions(+) diff --git a/.Rbuildignore b/.Rbuildignore index 6862a61..c7c64ee 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -2,3 +2,6 @@ ^\.Rproj\.user$ ^LICENSE\.md$ ^TODO\.md$ +^_pkgdown\.yml$ +^docs$ +^pkgdown$ diff --git a/.gitignore b/.gitignore index c833a2c..138866d 100644 --- a/.gitignore +++ b/.gitignore @@ -3,3 +3,4 @@ .RData .Ruserdata inst/doc +docs From 7379967f458195231f26d5fed6d41c399a59b80c Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 10 Nov 2022 23:42:06 +0100 Subject: [PATCH 104/182] adding pkgdown custom config file --- _pkgdown.yml | 38 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 38 insertions(+) create mode 100644 _pkgdown.yml diff --git a/_pkgdown.yml b/_pkgdown.yml new file mode 100644 index 0000000..498fbde --- /dev/null +++ b/_pkgdown.yml @@ -0,0 +1,38 @@ +authors: + Lea Rothörl: + href: https://github.com/lea-rothoerl + Federico Marini: + href: https://federicomarini.github.io + +template: + params: + bootswatch: cosmo + +navbar: + structure: + left: + - home + - intro + - reference + - articles + - news + right: github + components: + home: + icon: fa-home fa-lg + href: index.html + reference: + text: Reference + href: reference/index.html + articles: + text: Articles + menu: + - text: | + The `DeeDee` User's Guide + href: articles/deedee_manual.html + news: + text: Changelog + href: news/index.html + github: + icon: fab fa-github fa-lg + href: https://github.com/lea-rothoerl/DeeDee From fbaa9be66451c2ee2bf73b4b0fdd3ad10753c5bc Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Fri, 11 Nov 2022 00:10:56 +0100 Subject: [PATCH 105/182] fixing example with extra library --- R/DeeDee_venn.R | 1 + man/ddedde_venn.Rd | 1 + 2 files changed, 2 insertions(+) diff --git a/R/DeeDee_venn.R b/R/DeeDee_venn.R index 3dcd975..7e932e9 100644 --- a/R/DeeDee_venn.R +++ b/R/DeeDee_venn.R @@ -24,6 +24,7 @@ #' ) #' dde #' +#' library("dplyr") ## to have the inner_join, needed by ggvenn #' ddedde_venn(dde, pthresh = 0.05, mode = "both") ddedde_venn <- function(dde, mode = "both", diff --git a/man/ddedde_venn.Rd b/man/ddedde_venn.Rd index bd67d5a..e732d62 100644 --- a/man/ddedde_venn.Rd +++ b/man/ddedde_venn.Rd @@ -36,5 +36,6 @@ dde <- DeeDeeExperiment( ) dde +library("dplyr") ## to have the inner_join, needed by ggvenn ddedde_venn(dde, pthresh = 0.05, mode = "both") } From 19199b548728cfe0f35fcdbbbd3780d1b9cc8445 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Sat, 12 Nov 2022 22:24:03 +0100 Subject: [PATCH 106/182] updated roxygen version --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 57753f8..9831209 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -21,7 +21,7 @@ Description: DeeDee is a collection of functions to compare the results of two License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) -RoxygenNote: 7.2.1 +RoxygenNote: 7.2.2 Depends: R (>= 4.1.0) Imports: From ffd9bfb524b3186b29ddd659d575067ed9b2b902 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Sat, 12 Nov 2022 22:27:38 +0100 Subject: [PATCH 107/182] some initial setup for github actions to keep codebase under CI --- .Rbuildignore | 1 + .github/workflows/check-bioc.yml | 147 +++++++++++++++++++++++++++++++ 2 files changed, 148 insertions(+) create mode 100644 .github/workflows/check-bioc.yml diff --git a/.Rbuildignore b/.Rbuildignore index c7c64ee..52c171e 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -5,3 +5,4 @@ ^_pkgdown\.yml$ ^docs$ ^pkgdown$ +^\.github$ diff --git a/.github/workflows/check-bioc.yml b/.github/workflows/check-bioc.yml new file mode 100644 index 0000000..e668e4c --- /dev/null +++ b/.github/workflows/check-bioc.yml @@ -0,0 +1,147 @@ +on: + push: + pull_request: + branches: + - master + schedule: + - cron: '0 8 * * 5' + +name: R-CMD-check + +jobs: + R-CMD-check: + runs-on: ${{ matrix.config.os }} + container: ${{ matrix.config.image }} + + name: ${{ matrix.config.os }} (${{ matrix.config.bioc }} - ${{ matrix.config.image }}) + + strategy: + fail-fast: false + matrix: + config: + - { os: windows-latest, bioc: 'devel'} + - { os: macOS-latest, bioc: 'devel', curlConfigPath: '/usr/bin/'} + - { os: ubuntu-latest, bioc: 'devel'} + # - { os: ubuntu-latest, bioc: 'devel', cran: "https://demo.rstudiopm.com/all/__linux__/xenial/latest"} + - { os: ubuntu-latest, image: 'bioconductor/bioconductor_docker:devel'} + + env: + R_REMOTES_NO_ERRORS_FROM_WARNINGS: true + CRAN: ${{ matrix.config.cran }} + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + CURL_CONFIG: ${{ matrix.config.curlConfigPath }}curl-config + + steps: + - name: Check out repo + uses: actions/checkout@v2 + + - name: Set up R and install BiocManager + uses: grimbough/bioc-actions/setup-bioc@v1 + if: matrix.config.image == null + with: + bioc-version: ${{ matrix.config.bioc }} + + - name: Set up pandoc + uses: r-lib/actions/setup-pandoc@v2 + if: matrix.config.image == null + + - name: Install remotes + run: | + install.packages('remotes') + shell: Rscript {0} + + - name: Query dependencies + run: | + saveRDS(remotes::dev_package_deps(dependencies = TRUE, repos = c(getOption('repos'), BiocManager::repositories())), 'depends.Rds', version = 2) + shell: Rscript {0} + + - name: Cache R packages + if: runner.os != 'Windows' && matrix.config.image == null + uses: actions/cache@v1 + with: + path: ${{ env.R_LIBS_USER }} + key: ${{ runner.os }}-bioc-${{ matrix.config.bioc }}-${{ hashFiles('depends.Rds') }} + restore-keys: ${{ runner.os }}-bioc-${{ matrix.config.bioc }}- + + - name: Install system dependencies + if: runner.os == 'Linux' + env: + RHUB_PLATFORM: linux-x86_64-ubuntu-gcc + run: | + Rscript -e "remotes::install_github('r-hub/sysreqs')" + sysreqs=$(Rscript -e "cat(sysreqs::sysreq_commands('DESCRIPTION'))") + sudo -s eval "$sysreqs" + sudo apt-get update && sudo apt-get -y install libcurl4-openssl-dev libglpk-dev libharfbuzz-dev libfribidi-dev + + - name: Install system dependencies (macOS) + if: runner.os == 'macOS' + run: | + brew install cairo + brew install --cask xquartz + brew install harfbuzz + brew install fribidi + brew install fftw + + - name: Set up gfortran symlinks (macOS) + if: runner.os == 'macOS' + run: | + set -x + sudo ln -s /usr/local/Cellar/gcc@8/8.4.0_2/lib/gcc/8 /usr/local/gfortran/lib + gfortran --version + + - name: Install dependencies + run: | + local_deps <- remotes::local_package_deps(dependencies = TRUE) + deps <- remotes::dev_package_deps(dependencies = TRUE, repos = BiocManager::repositories()) + BiocManager::install(local_deps[local_deps %in% deps$package[deps$diff != 0]], Ncpu = 2L) + remotes::install_cran('rcmdcheck', Ncpu = 2L) + shell: Rscript {0} + + - name: Session info + run: | + options(width = 100) + pkgs <- installed.packages()[, "Package"] + sessioninfo::session_info(pkgs, include_base = TRUE) + shell: Rscript {0} + + - name: Build, Install, Check + uses: grimbough/bioc-actions/build-install-check@v1 + + - name: Run BiocCheck + uses: grimbough/bioc-actions/run-BiocCheck@v1 + with: + arguments: '--no-check-bioc-views --no-check-bioc-help' + error-on: 'error' + + # - name: Upload check results + # if: failure() + # uses: actions/upload-artifact@master + # with: + # name: ${{ runner.os }}-r${{ matrix.config.r }}-results + # path: check + + - name: Show testthat output + if: always() + run: find check -name 'testthat.Rout*' -exec cat '{}' \; || true + shell: bash + + - name: Upload check results + if: failure() + uses: actions/upload-artifact@master + with: + name: ${{ runner.os }}-bioc-${{ matrix.config.bioc }}-results + path: check + + - name: Test coverage + if: matrix.config.os == 'macOS-latest' + run: | + install.packages("covr") + covr::codecov(token = "${{secrets.CODECOV_TOKEN}}") + shell: Rscript {0} + + - name: Deploy + if: github.event_name == 'push' && github.ref == 'refs/heads/master' && matrix.config.os == 'macOS-latest' + run: | + R CMD INSTALL . + Rscript -e "remotes::install_dev('pkgdown'); pkgdown::deploy_to_branch(new_process = FALSE)" From 0a81dab3d5a07de5a732125a4f956c2ba1a45fea Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Sat, 12 Nov 2022 22:39:43 +0100 Subject: [PATCH 108/182] cleanup example detritus --- R/DeeDee_qqmult.R | 14 -------------- 1 file changed, 14 deletions(-) diff --git a/R/DeeDee_qqmult.R b/R/DeeDee_qqmult.R index 5c80221..88eef58 100644 --- a/R/DeeDee_qqmult.R +++ b/R/DeeDee_qqmult.R @@ -74,19 +74,5 @@ ddedde_qqmult <- function(dde, return(res) } -#' ddedde_qqmult(dde, -#' pthresh = 0.05, -#' ref = 1) -#' -#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 2) -#' ddedde_qqmult(dde, pthresh = 0.05, ref = 2) -#' -#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 3) -#' ddedde_qqmult(dde, pthresh = 0.05, ref = 3) -#' -#' deedee_qqmult(dd_list_original, pthresh = 0.05, ref = 4) -#' ddedde_qqmult(dde, pthresh = 0.05, ref = 4) - - From 52928a24df25178519e891a2822ba90532e30a48 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Sat, 12 Nov 2022 22:39:58 +0100 Subject: [PATCH 109/182] testing app w new parameters --- tests/testthat/test-DeeDee_app.R | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/tests/testthat/test-DeeDee_app.R b/tests/testthat/test-DeeDee_app.R index df30d7c..76be536 100644 --- a/tests/testthat/test-DeeDee_app.R +++ b/tests/testthat/test-DeeDee_app.R @@ -2,8 +2,7 @@ test_that("shiny", { data(dd_list_original, package = "DeeDee") library("shiny") - - myapp <- ddedde_app(deedee_obj = DeeDeeLegacy::DeeDeeObject(DeeDeeList = dd_list_original)) + myapp <- ddedde_app(dde = DeeDeeExperiment(se = se_macrophage_noassays, de_results = del)) expect_is(myapp, "shiny.appobj") }) From 6c9809a8a7b222657d1bff3d3a1c6385263d701d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Sat, 12 Nov 2022 22:41:29 +0100 Subject: [PATCH 110/182] cleanup dependency from DeeDeeLegacy, mock package containing the previous set of functionality --- DESCRIPTION | 1 - NAMESPACE | 10 ---------- R/DeeDee-app.R | 6 +++--- R/DeeDee-app_helpers.R | 6 +++--- R/DeeDee-pkg.R | 2 -- 5 files changed, 6 insertions(+), 19 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 9831209..56c1935 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -25,7 +25,6 @@ RoxygenNote: 7.2.2 Depends: R (>= 4.1.0) Imports: - DeeDeeLegacy, AnnotationDbi, checkmate, clusterProfiler, diff --git a/NAMESPACE b/NAMESPACE index 5cbc607..05b3a1b 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -34,16 +34,6 @@ importFrom(ComplexUpset,intersection_size) importFrom(ComplexUpset,upset) importFrom(DESeq2,DESeq) importFrom(DESeq2,results) -importFrom(DeeDeeLegacy,DeeDeeObject) -importFrom(DeeDeeLegacy,deedee_cat) -importFrom(DeeDeeLegacy,deedee_heatmap) -importFrom(DeeDeeLegacy,deedee_prepare) -importFrom(DeeDeeLegacy,deedee_qq) -importFrom(DeeDeeLegacy,deedee_qqmult) -importFrom(DeeDeeLegacy,deedee_scatter) -importFrom(DeeDeeLegacy,deedee_summary) -importFrom(DeeDeeLegacy,deedee_upset) -importFrom(DeeDeeLegacy,deedee_venn) importFrom(InteractiveComplexHeatmap,makeInteractiveComplexHeatmap) importFrom(S4Vectors,"metadata<-") importFrom(S4Vectors,metadata) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 1c8abfc..7ac0ef6 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -285,7 +285,7 @@ ddedde_app <- function(deedee_obj = NULL, } } - obj <- DeeDeeLegacy::DeeDeeObject(DeeDeeList = dat) + ###### to-replace ####### obj <- DeeDeeLegacy::DeeDeeObject(DeeDeeList = dat) return(obj) }) @@ -363,8 +363,8 @@ ddedde_app <- function(deedee_obj = NULL, # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) # ) shiny::req(shiny::isTruthy(reactive_values$dde)) - dl <- DeeDeeLegacy::DeeDeeObject(DeeDeeList = mydata_use()) - saveRDS(dl, file) + ###### to-replace ####### dl <- DeeDeeLegacy::DeeDeeObject(DeeDeeList = mydata_use()) + ###### to-replace ####### saveRDS(dl, file) } ) diff --git a/R/DeeDee-app_helpers.R b/R/DeeDee-app_helpers.R index 47f012b..4327752 100644 --- a/R/DeeDee-app_helpers.R +++ b/R/DeeDee-app_helpers.R @@ -6,14 +6,14 @@ rds_input <- function(obj, obj <- obj@DeeDeeList } if (is(obj, "DESeqResults")) { - obj <- DeeDeeLegacy::deedee_prepare(obj, "DESeq2") + ###### to-replace ####### obj <- DeeDeeLegacy::deedee_prepare(obj, "DESeq2") obj <- list(obj) names(obj) <- unlist(strsplit(nm, split = ".", fixed = TRUE ))[1] } else if (is(obj, "DGEExact")) { - obj <- DeeDeeLegacy::deedee_prepare(obj, "edgeR") + ###### to-replace ####### obj <- DeeDeeLegacy::deedee_prepare(obj, "edgeR") obj <- list(obj) names(obj) <- unlist(strsplit(nm, split = ".", @@ -52,7 +52,7 @@ rds_input <- function(obj, )) == FALSE) { return(NULL) } - obj <- DeeDeeLegacy::deedee_prepare(obj, "limma") + ###### to-replace ####### obj <- DeeDeeLegacy::deedee_prepare(obj, "limma") obj <- list(obj) names(obj) <- unlist(strsplit(nm, split = ".", diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index b35fe5a..eed343a 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -43,8 +43,6 @@ #' @importFrom S4Vectors metadata metadata<- #' @importFrom rlang .data #' @import methods -#' @importFrom DeeDeeLegacy deedee_prepare deedee_cat deedee_heatmap deedee_qq -#' deedee_qqmult deedee_scatter deedee_summary deedee_upset deedee_venn DeeDeeObject #' #' @name DeeDee-pkg #' @docType package From 9671c90b0136c032e9bc7a0640bbb790d5ec24b3 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Sat, 12 Nov 2022 23:12:10 +0100 Subject: [PATCH 111/182] removing calls to legacy functions throughout the codebase - prelim to renaming the newer ones --- R/DeeDee-app.R | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 7ac0ef6..bfc69ea 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -286,6 +286,7 @@ ddedde_app <- function(deedee_obj = NULL, } ###### to-replace ####### obj <- DeeDeeLegacy::DeeDeeObject(DeeDeeList = dat) + obj <- dat #### TODO return(obj) }) @@ -1672,8 +1673,9 @@ ddedde_app <- function(deedee_obj = NULL, shiny::req(qq_ref) shiny::req(cat_ref) - deedee_summary( - mydata_use(), + ddedde_summary( + # mydata_use(), + dde = my_deedee_use(), output_path = outfile, overwrite = TRUE, pthresh = input$sum_pthresh, From 40d9d9d67e47fa84a0309454401ffe25b4859f77 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Sun, 13 Nov 2022 18:45:57 +0100 Subject: [PATCH 112/182] handling logic of de result according to its provenance --- R/DeeDeeExperiment.R | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index f3fdd62..c1dec63 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -124,7 +124,15 @@ DeeDeeExperiment <- function(se = NULL, # metainfo_pvalue = mcols(this_de)$description[colnames(this_de) == "pvalue"], # original_object = this_de, # package = "DESeq2" - # ) + # ) is(res_de, "DGEExact") | is(res_de, "DGELRT") + } else if (is(this_de, "DGEExact") | is(this_de, "DGELRT")) { + input_edgeR <- .importDE_edgeR(se_out, this_de, i) + se_out <- input_edgeR$se + dea_contrasts[[i]] <- input_edgeR$dea_contrast + } else if (is(this_de, "MArrayLM")) { + input_limma <- .importDE_limma(se_out, this_de, i) + se_out <- input_limma$se + dea_contrasts[[i]] <- input_limma$dea_contrast } } From 6382449022da70edc77691cc45b41aa2a5193abb Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Sun, 13 Nov 2022 18:46:05 +0100 Subject: [PATCH 113/182] fixed matching of ids --- R/DeeDeeExperiment.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index c1dec63..525230f 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -162,7 +162,7 @@ DeeDeeExperiment <- function(se = NULL, # p value respect the 0-1 interval - matched_ids <- match(rownames(se), rownames(res_de)) + matched_ids <- match(rownames(res_de), rownames(se)) # if not tested, add NA - everywhere? -> pre-fill? rowData(se)[[paste0(de_name,"_log2FoldChange")]] <- NA From 166bccdbdde14116a5638374b38a5635f093531a Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Sun, 13 Nov 2022 18:46:44 +0100 Subject: [PATCH 114/182] initial implementation of objects import from edgeR and limma --- R/DeeDeeExperiment.R | 90 ++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 87 insertions(+), 3 deletions(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 525230f..2ad1b45 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -192,14 +192,98 @@ DeeDeeExperiment <- function(se = NULL, } -.importDE_edgeR <- function(x) { +# as an example, use the converted DEformats +.importDE_edgeR <- function(se, res_de, de_name) { + # checks object + stopifnot( + is(res_de, "DGEExact") | is(res_de, "DGELRT") + ) + + # extract columns + res_tbl <- topTags(res_de, n = nrow(res_de), sort.by = "none") + + + matched_ids <- match(rownames(res_tbl), rownames(se)) + + # if not tested, add NA - everywhere? -> pre-fill? + rowData(se)[[paste0(de_name,"_log2FoldChange")]] <- NA + rowData(se)[[paste0(de_name,"_pvalue")]] <- NA + rowData(se)[[paste0(de_name,"_padj")]] <- NA + + rowData(se)[[paste0(de_name,"_log2FoldChange")]][matched_ids] <- res_tbl$table$logFC + rowData(se)[[paste0(de_name,"_pvalue")]][matched_ids] <- res_tbl$table$PValue + rowData(se)[[paste0(de_name,"_padj")]][matched_ids] <- res_tbl$table$FDR + + dea_contrast <- list( + alpha = NA, + lfcThreshold = NA, + metainfo_logFC = res_tbl$comparison, + metainfo_pvalue = NA, + original_object = res_de, + # object_name = deparse(substitute(res_tbl)), + package = "edgeR" + ) + + return( + list( + se = se, + dea_contrast = dea_contrast + ) + ) + + + # returns info (in the standardized manner) } -.importDE_limma <- function(x) { + +# ... limma_de <- lmFit +# will provide the outout of lmFit - see its examples +.importDE_limma <- function(se, res_de, de_name) { + # checks object + stopifnot(is(res_de, "MArrayLM")) + + # extract columns + res_tbl <- topTable(res_de, + coef = 2, + n = nrow(res_de), + sort.by = "none") + + + matched_ids <- match(rownames(res_tbl), rownames(se)) + + # if not tested, add NA - everywhere? -> pre-fill? + rowData(se)[[paste0(de_name,"_log2FoldChange")]] <- NA + rowData(se)[[paste0(de_name,"_pvalue")]] <- NA + rowData(se)[[paste0(de_name,"_padj")]] <- NA + + rowData(se)[[paste0(de_name,"_log2FoldChange")]][matched_ids] <- res_tbl$logFC + rowData(se)[[paste0(de_name,"_pvalue")]][matched_ids] <- res_tbl$P.Value + rowData(se)[[paste0(de_name,"_padj")]][matched_ids] <- res_tbl$adj.P.Val + + dea_contrast <- list( + alpha = NA, + lfcThreshold = NA, + metainfo_logFC = res_tbl$comparison, + metainfo_pvalue = NA, + original_object = res_de, + # object_name = deparse(substitute(res_tbl)), + package = "limma" + ) + + return( + list( + se = se, + dea_contrast = dea_contrast + ) + ) + + + # returns info (in the standardized manner) } + .importDE_custom <- function(x) { } @@ -216,7 +300,7 @@ DeeDeeExperiment <- function(se = NULL, stopifnot(length(x) > 0) ok_types <- unlist(lapply(x, function(arg) { - is(arg, "DESeqResults") | is(arg, "DGEExact") + is(arg, "DESeqResults") | is(arg, "DGEExact") | is(arg, "DGELRT") | is(arg, "MArrayLM") })) stopifnot(all(ok_types)) From a80cd136da17fb71ee9006e01646a62cfd93a187 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 14 Nov 2022 20:56:04 +0100 Subject: [PATCH 115/182] imports with limma and edgeR --- DESCRIPTION | 2 ++ NAMESPACE | 2 ++ 2 files changed, 4 insertions(+) diff --git a/DESCRIPTION b/DESCRIPTION index 56c1935..c32ebde 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -32,10 +32,12 @@ Imports: ComplexUpset, DESeq2, dplyr, + edgeR, enrichplot, ggplot2, ggvenn, InteractiveComplexHeatmap, + limma, readxl, rvest, shiny, diff --git a/NAMESPACE b/NAMESPACE index 05b3a1b..4c94c03 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -55,6 +55,7 @@ importFrom(clusterProfiler,enrichGO) importFrom(dplyr,bind_rows) importFrom(dplyr,full_join) importFrom(dplyr,inner_join) +importFrom(edgeR,topTags) importFrom(enrichplot,emapplot) importFrom(enrichplot,pairwise_termsim) importFrom(ggplot2,aes) @@ -69,6 +70,7 @@ importFrom(ggplot2,theme_light) importFrom(ggplot2,xlab) importFrom(ggplot2,ylab) importFrom(ggvenn,ggvenn) +importFrom(limma,topTable) importFrom(readxl,excel_sheets) importFrom(readxl,read_excel) importFrom(rlang,.data) From 643998841a176d5e91612e913517405d8e262d83 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 14 Nov 2022 20:56:32 +0100 Subject: [PATCH 116/182] ddedde -> deedee --- R/DeeDee-app.R | 22 +++++++++++----------- R/DeeDee_bars.R | 2 +- R/DeeDee_cat.R | 6 +++--- R/DeeDee_heatmap.R | 8 ++++---- R/DeeDee_qq.R | 6 +++--- R/DeeDee_qqmult.R | 6 +++--- R/DeeDee_scatter.R | 10 +++++----- R/DeeDee_summary.R | 6 +++--- R/DeeDee_upset.R | 6 +++--- R/DeeDee_venn.R | 6 +++--- 10 files changed, 39 insertions(+), 39 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index bfc69ea..f60a375 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -28,14 +28,14 @@ #' dde #' #' if (interactive()) { -#' ddedde_app(dde = dde) +#' deedee_app(dde = dde) #' } #' #' # one can provide the DeeDeeExperiment object also at runtime #' if (interactive()) { -#' ddedde_app() +#' deedee_app() #' } -ddedde_app <- function(deedee_obj = NULL, +deedee_app <- function(deedee_obj = NULL, dde = NULL) { @@ -509,7 +509,7 @@ ddedde_app <- function(deedee_obj = NULL, sel2 <- match(input$in_scatter_select2, names(dea(my_deedee_use()))) shiny::req(sel1) shiny::req(sel2) - res <- ddedde_scatter( + res <- deedee_scatter( my_deedee_use(), select1 = sel1, select2 = sel2, @@ -765,7 +765,7 @@ ddedde_app <- function(deedee_obj = NULL, shiny::req(shiny::isTruthy(reactive_values$dde)) shiny::req(input$in_heatmap_show_first) # shiny::req(mydata_use()) - res <- ddedde_heatmap( + res <- deedee_heatmap( my_deedee_use(), show_first = input$in_heatmap_show_first, show_gene_names = input$in_heatmap_show_gene_names, @@ -903,7 +903,7 @@ ddedde_app <- function(deedee_obj = NULL, # shiny::isTruthy(input$upload_de) || shiny::isTruthy(deedee_obj) # ) shiny::req(shiny::isTruthy(reactive_values$dde)) - res <- ddedde_venn( + res <- deedee_venn( my_deedee_use(), mode = input$in_venn_mode, pthresh = input$in_venn_pthresh @@ -1000,7 +1000,7 @@ ddedde_app <- function(deedee_obj = NULL, mode <- input$in_upset_mode } - res <- ddedde_upset( + res <- deedee_upset( my_deedee_use(), mode = mode, pthresh = input$in_upset_pthresh, @@ -1156,7 +1156,7 @@ ddedde_app <- function(deedee_obj = NULL, sel2 <- match(input$in_qq_select2, names(dea(my_deedee_use()))) shiny::req(sel1) shiny::req(sel2) - res <- ddedde_qq( + res <- deedee_qq( my_deedee_use(), select1 = sel1, select2 = sel2, @@ -1197,7 +1197,7 @@ ddedde_app <- function(deedee_obj = NULL, shiny::req(shiny::isTruthy(reactive_values$dde)) ref <- match(input$in_qq_reference, names(dea(my_deedee_use()))) shiny::req(ref) - res <- ddedde_qqmult( + res <- deedee_qqmult( my_deedee_use(), ref = ref, pthresh = input$in_qq_pthresh @@ -1389,7 +1389,7 @@ ddedde_app <- function(deedee_obj = NULL, shiny::req(input$in_cat_ref) ref <- match(input$in_cat_ref, names(dea(my_deedee_use()))) - res <- ddedde_cat( + res <- deedee_cat( my_deedee_use(), ref = ref, maxrank = input$in_cat_maxrank, @@ -1673,7 +1673,7 @@ ddedde_app <- function(deedee_obj = NULL, shiny::req(qq_ref) shiny::req(cat_ref) - ddedde_summary( + deedee_summary( # mydata_use(), dde = my_deedee_use(), output_path = outfile, diff --git a/R/DeeDee_bars.R b/R/DeeDee_bars.R index 5e20bb2..fd66c11 100644 --- a/R/DeeDee_bars.R +++ b/R/DeeDee_bars.R @@ -21,7 +21,7 @@ #' de_results = del #' ) #' dde -ddedde_bars <- function(dde) { +deedee_bars <- function(dde) { # extract the summary infos diff --git a/R/DeeDee_cat.R b/R/DeeDee_cat.R index 200a8fb..a951b73 100644 --- a/R/DeeDee_cat.R +++ b/R/DeeDee_cat.R @@ -26,8 +26,8 @@ #' ) #' dde #' -#' ddedde_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) -ddedde_cat <- function(dde, +#' deedee_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) +deedee_cat <- function(dde, ref = 1, maxrank = 1000, mode = "up", @@ -115,7 +115,7 @@ ddedde_cat <- function(dde, return(res) } -# ddedde_cat(dde, +# deedee_cat(dde, # ref = 1, # maxrank = 1000, # mode = "up", diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R index ff34084..6b984a1 100644 --- a/R/DeeDee_heatmap.R +++ b/R/DeeDee_heatmap.R @@ -31,13 +31,13 @@ #' ) #' dde #' -#' ddedde_heatmap(dde, +#' deedee_heatmap(dde, #' pthresh = 0.05, show_first = 25, #' show_gene_names = FALSE, dist = "euclidean", #' clust = "average", show_na = FALSE #' ) #' -ddedde_heatmap <- function(dde, +deedee_heatmap <- function(dde, show_first = 25, show_gene_names = FALSE, dist = "euclidean", @@ -125,13 +125,13 @@ ddedde_heatmap <- function(dde, #' clust = "average", show_na = FALSE #' ) -# ddedde_heatmap(dde = dde, +# deedee_heatmap(dde = dde, # pthresh = 0.05, show_first = 25, # show_gene_names = FALSE, dist = "euclidean", # clust = "average", show_na = FALSE # ) # -# ddedde_heatmap(dde = dde, +# deedee_heatmap(dde = dde, # pthresh = 0.05, show_first = 25, # show_gene_names = TRUE, dist = "euclidean", # clust = "average", show_na = TRUE diff --git a/R/DeeDee_qq.R b/R/DeeDee_qq.R index 174228e..66d2391 100644 --- a/R/DeeDee_qq.R +++ b/R/DeeDee_qq.R @@ -27,9 +27,9 @@ #' ) #' dde #' -#' ddedde_qq(dde) +#' deedee_qq(dde) #' -ddedde_qq <- function(dde, +deedee_qq <- function(dde, select1 = 1, select2 = 2, color_by = "pval1", @@ -115,7 +115,7 @@ ddedde_qq <- function(dde, return(res) } -# ddedde_qq(dde, +# deedee_qq(dde, # pthresh = 0.05, # select = 1, # select2 = 2, diff --git a/R/DeeDee_qqmult.R b/R/DeeDee_qqmult.R index 88eef58..05dab62 100644 --- a/R/DeeDee_qqmult.R +++ b/R/DeeDee_qqmult.R @@ -24,9 +24,9 @@ #' ) #' dde #' -#' ddedde_qqmult(dde, pthresh = 0.05, ref = 1) +#' deedee_qqmult(dde, pthresh = 0.05, ref = 1) #' -ddedde_qqmult <- function(dde, +deedee_qqmult <- function(dde, ref = 1, pthresh = 0.05) { @@ -45,7 +45,7 @@ ddedde_qqmult <- function(dde, for (i in 1:length(dea_list)) { if (i != ref) { output[[i]] <- data.frame( - ggplot2::ggplot_build(ddedde_qq( + ggplot2::ggplot_build(deedee_qq( dde = dde, select1 = ref, select2 = i, diff --git a/R/DeeDee_scatter.R b/R/DeeDee_scatter.R index 90bb831..6700322 100644 --- a/R/DeeDee_scatter.R +++ b/R/DeeDee_scatter.R @@ -26,11 +26,11 @@ #' ) #' dde #' -#' ddedde_scatter(dde, 1, 3, color_by = "pval2") -#' ddedde_scatter(dde, 1, 2) -#' ddedde_scatter(dde, 1, 4) -#' ddedde_scatter(dde, 3, 2) -ddedde_scatter <- function(dde, +#' deedee_scatter(dde, 1, 3, color_by = "pval2") +#' deedee_scatter(dde, 1, 2) +#' deedee_scatter(dde, 1, 4) +#' deedee_scatter(dde, 3, 2) +deedee_scatter <- function(dde, select1 = 1, select2 = 2, color_by = "pval1", diff --git a/R/DeeDee_summary.R b/R/DeeDee_summary.R index 9b969e8..efe6a25 100644 --- a/R/DeeDee_summary.R +++ b/R/DeeDee_summary.R @@ -43,8 +43,8 @@ #' ) #' dde #' -#' # ddedde_summary(dde) -ddedde_summary <- function(dde, +#' # deedee_summary(dde) +deedee_summary <- function(dde, template = system.file("extdata", "summary_template.Rmd", package = "DeeDee"), @@ -146,7 +146,7 @@ ddedde_summary <- function(dde, } } -# ddedde_summary(dde, +# deedee_summary(dde, # template = "inst/extdata/summary_template.Rmd", output_path = "v2.html") diff --git a/R/DeeDee_upset.R b/R/DeeDee_upset.R index e419fe4..e2c1638 100644 --- a/R/DeeDee_upset.R +++ b/R/DeeDee_upset.R @@ -24,8 +24,8 @@ #' de_results = del #' ) #' dde -#' ddedde_upset(dde, pthresh = 0.05, mode = "both_colored", min_setsize = 10) -ddedde_upset <- function(dde, +#' deedee_upset(dde, pthresh = 0.05, mode = "both_colored", min_setsize = 10) +deedee_upset <- function(dde, mode = "both_colored", min_setsize = 10, pthresh = 0.05) { @@ -147,7 +147,7 @@ ddedde_upset <- function(dde, } -# ddedde_upset(dde, +# deedee_upset(dde, # pthresh = 0.05, # mode = "both_colored", # min_setsize = 10) diff --git a/R/DeeDee_venn.R b/R/DeeDee_venn.R index 7e932e9..06b4ffc 100644 --- a/R/DeeDee_venn.R +++ b/R/DeeDee_venn.R @@ -25,8 +25,8 @@ #' dde #' #' library("dplyr") ## to have the inner_join, needed by ggvenn -#' ddedde_venn(dde, pthresh = 0.05, mode = "both") -ddedde_venn <- function(dde, +#' deedee_venn(dde, pthresh = 0.05, mode = "both") +deedee_venn <- function(dde, mode = "both", pthresh = 0.05) { @@ -85,7 +85,7 @@ ddedde_venn <- function(dde, return(res) } -# ddedde_venn(dde, pthresh = 0.05, mode = "both") +# deedee_venn(dde, pthresh = 0.05, mode = "both") From e25dc8344a2336a35d806534c420099b4af36f5d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 14 Nov 2022 20:56:52 +0100 Subject: [PATCH 117/182] renaming ddedde_ -> deedee_ in the manpage --- man/{ddedde_app.Rd => deedee_app.Rd} | 10 +++++----- man/{ddedde_bars.Rd => deedee_bars.Rd} | 6 +++--- man/{ddedde_cat.Rd => deedee_cat.Rd} | 8 ++++---- man/{ddedde_heatmap.Rd => deedee_heatmap.Rd} | 8 ++++---- man/{ddedde_qq.Rd => deedee_qq.Rd} | 8 ++++---- man/{ddedde_qqmult.Rd => deedee_qqmult.Rd} | 8 ++++---- man/{ddedde_scatter.Rd => deedee_scatter.Rd} | 14 +++++++------- man/{ddedde_summary.Rd => deedee_summary.Rd} | 8 ++++---- man/{ddedde_upset.Rd => deedee_upset.Rd} | 8 ++++---- man/{ddedde_venn.Rd => deedee_venn.Rd} | 8 ++++---- 10 files changed, 43 insertions(+), 43 deletions(-) rename man/{ddedde_app.Rd => deedee_app.Rd} (89%) rename man/{ddedde_bars.Rd => deedee_bars.Rd} (91%) rename man/{ddedde_cat.Rd => deedee_cat.Rd} (80%) rename man/{ddedde_heatmap.Rd => deedee_heatmap.Rd} (92%) rename man/{ddedde_qq.Rd => deedee_qq.Rd} (92%) rename man/{ddedde_qqmult.Rd => deedee_qqmult.Rd} (82%) rename man/{ddedde_scatter.Rd => deedee_scatter.Rd} (80%) rename man/{ddedde_summary.Rd => deedee_summary.Rd} (95%) rename man/{ddedde_upset.Rd => deedee_upset.Rd} (79%) rename man/{ddedde_venn.Rd => deedee_venn.Rd} (83%) diff --git a/man/ddedde_app.Rd b/man/deedee_app.Rd similarity index 89% rename from man/ddedde_app.Rd rename to man/deedee_app.Rd index 557c680..a3c3923 100644 --- a/man/ddedde_app.Rd +++ b/man/deedee_app.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/DeeDee-app.R -\name{ddedde_app} -\alias{ddedde_app} +\name{deedee_app} +\alias{deedee_app} \title{DeeDee App} \usage{ -ddedde_app(deedee_obj = NULL, dde = NULL) +deedee_app(deedee_obj = NULL, dde = NULL) } \arguments{ \item{deedee_obj}{An object of the class DeeDeeExperiment to be analyzed.} @@ -37,11 +37,11 @@ dde <- DeeDeeExperiment( dde if (interactive()) { - ddedde_app(dde = dde) + deedee_app(dde = dde) } # one can provide the DeeDeeExperiment object also at runtime if (interactive()) { - ddedde_app() + deedee_app() } } diff --git a/man/ddedde_bars.Rd b/man/deedee_bars.Rd similarity index 91% rename from man/ddedde_bars.Rd rename to man/deedee_bars.Rd index 116c4fa..ece0d4b 100644 --- a/man/ddedde_bars.Rd +++ b/man/deedee_bars.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/DeeDee_bars.R -\name{ddedde_bars} -\alias{ddedde_bars} +\name{deedee_bars} +\alias{deedee_bars} \title{Title} \usage{ -ddedde_bars(dde) +deedee_bars(dde) } \arguments{ \item{dde}{todo} diff --git a/man/ddedde_cat.Rd b/man/deedee_cat.Rd similarity index 80% rename from man/ddedde_cat.Rd rename to man/deedee_cat.Rd index 925e09c..85fc35b 100644 --- a/man/ddedde_cat.Rd +++ b/man/deedee_cat.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/DeeDee_cat.R -\name{ddedde_cat} -\alias{ddedde_cat} +\name{deedee_cat} +\alias{deedee_cat} \title{Title} \usage{ -ddedde_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) +deedee_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) } \arguments{ \item{dde}{todo} @@ -40,5 +40,5 @@ dde <- DeeDeeExperiment( ) dde -ddedde_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) +deedee_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) } diff --git a/man/ddedde_heatmap.Rd b/man/deedee_heatmap.Rd similarity index 92% rename from man/ddedde_heatmap.Rd rename to man/deedee_heatmap.Rd index 47aff7d..818cf3a 100644 --- a/man/ddedde_heatmap.Rd +++ b/man/deedee_heatmap.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/DeeDee_heatmap.R -\name{ddedde_heatmap} -\alias{ddedde_heatmap} +\name{deedee_heatmap} +\alias{deedee_heatmap} \title{Title} \usage{ -ddedde_heatmap( +deedee_heatmap( dde, show_first = 25, show_gene_names = FALSE, @@ -52,7 +52,7 @@ dde <- DeeDeeExperiment( ) dde -ddedde_heatmap(dde, +deedee_heatmap(dde, pthresh = 0.05, show_first = 25, show_gene_names = FALSE, dist = "euclidean", clust = "average", show_na = FALSE diff --git a/man/ddedde_qq.Rd b/man/deedee_qq.Rd similarity index 92% rename from man/ddedde_qq.Rd rename to man/deedee_qq.Rd index 8c6be46..ebe4086 100644 --- a/man/ddedde_qq.Rd +++ b/man/deedee_qq.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/DeeDee_qq.R -\name{ddedde_qq} -\alias{ddedde_qq} +\name{deedee_qq} +\alias{deedee_qq} \title{Title} \usage{ -ddedde_qq( +deedee_qq( dde, select1 = 1, select2 = 2, @@ -49,6 +49,6 @@ dde <- DeeDeeExperiment( ) dde -ddedde_qq(dde) +deedee_qq(dde) } diff --git a/man/ddedde_qqmult.Rd b/man/deedee_qqmult.Rd similarity index 82% rename from man/ddedde_qqmult.Rd rename to man/deedee_qqmult.Rd index e908d23..918f46f 100644 --- a/man/ddedde_qqmult.Rd +++ b/man/deedee_qqmult.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/DeeDee_qqmult.R -\name{ddedde_qqmult} -\alias{ddedde_qqmult} +\name{deedee_qqmult} +\alias{deedee_qqmult} \title{Title} \usage{ -ddedde_qqmult(dde, ref = 1, pthresh = 0.05) +deedee_qqmult(dde, ref = 1, pthresh = 0.05) } \arguments{ \item{dde}{todo} @@ -36,6 +36,6 @@ dde <- DeeDeeExperiment( ) dde -ddedde_qqmult(dde, pthresh = 0.05, ref = 1) +deedee_qqmult(dde, pthresh = 0.05, ref = 1) } diff --git a/man/ddedde_scatter.Rd b/man/deedee_scatter.Rd similarity index 80% rename from man/ddedde_scatter.Rd rename to man/deedee_scatter.Rd index 5a5a612..1584ae9 100644 --- a/man/ddedde_scatter.Rd +++ b/man/deedee_scatter.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/DeeDee_scatter.R -\name{ddedde_scatter} -\alias{ddedde_scatter} +\name{deedee_scatter} +\alias{deedee_scatter} \title{Title} \usage{ -ddedde_scatter( +deedee_scatter( dde, select1 = 1, select2 = 2, @@ -46,8 +46,8 @@ dde <- DeeDeeExperiment( ) dde -ddedde_scatter(dde, 1, 3, color_by = "pval2") -ddedde_scatter(dde, 1, 2) -ddedde_scatter(dde, 1, 4) -ddedde_scatter(dde, 3, 2) +deedee_scatter(dde, 1, 3, color_by = "pval2") +deedee_scatter(dde, 1, 2) +deedee_scatter(dde, 1, 4) +deedee_scatter(dde, 3, 2) } diff --git a/man/ddedde_summary.Rd b/man/deedee_summary.Rd similarity index 95% rename from man/ddedde_summary.Rd rename to man/deedee_summary.Rd index 153c596..5d8bd71 100644 --- a/man/ddedde_summary.Rd +++ b/man/deedee_summary.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/DeeDee_summary.R -\name{ddedde_summary} -\alias{ddedde_summary} +\name{deedee_summary} +\alias{deedee_summary} \title{Title} \usage{ -ddedde_summary( +deedee_summary( dde, template = system.file("extdata", "summary_template.Rmd", package = "DeeDee"), output_path = "DeeDee_Summary.html", @@ -97,5 +97,5 @@ dde <- DeeDeeExperiment( ) dde -# ddedde_summary(dde) +# deedee_summary(dde) } diff --git a/man/ddedde_upset.Rd b/man/deedee_upset.Rd similarity index 79% rename from man/ddedde_upset.Rd rename to man/deedee_upset.Rd index 91c34d0..9d8f5ae 100644 --- a/man/ddedde_upset.Rd +++ b/man/deedee_upset.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/DeeDee_upset.R -\name{ddedde_upset} -\alias{ddedde_upset} +\name{deedee_upset} +\alias{deedee_upset} \title{Title} \usage{ -ddedde_upset(dde, mode = "both_colored", min_setsize = 10, pthresh = 0.05) +deedee_upset(dde, mode = "both_colored", min_setsize = 10, pthresh = 0.05) } \arguments{ \item{dde}{todo} @@ -37,5 +37,5 @@ dde <- DeeDeeExperiment( de_results = del ) dde -ddedde_upset(dde, pthresh = 0.05, mode = "both_colored", min_setsize = 10) +deedee_upset(dde, pthresh = 0.05, mode = "both_colored", min_setsize = 10) } diff --git a/man/ddedde_venn.Rd b/man/deedee_venn.Rd similarity index 83% rename from man/ddedde_venn.Rd rename to man/deedee_venn.Rd index e732d62..fb190d7 100644 --- a/man/ddedde_venn.Rd +++ b/man/deedee_venn.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/DeeDee_venn.R -\name{ddedde_venn} -\alias{ddedde_venn} +\name{deedee_venn} +\alias{deedee_venn} \title{Title} \usage{ -ddedde_venn(dde, mode = "both", pthresh = 0.05) +deedee_venn(dde, mode = "both", pthresh = 0.05) } \arguments{ \item{dde}{todo} @@ -37,5 +37,5 @@ dde <- DeeDeeExperiment( dde library("dplyr") ## to have the inner_join, needed by ggvenn -ddedde_venn(dde, pthresh = 0.05, mode = "both") +deedee_venn(dde, pthresh = 0.05, mode = "both") } From a5282f9355efe7465eec9888310ee5b4fdab7ca8 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 14 Nov 2022 21:03:51 +0100 Subject: [PATCH 118/182] fixed namespace --- NAMESPACE | 20 ++++++++++---------- R/DeeDee-pkg.R | 2 ++ 2 files changed, 12 insertions(+), 10 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 4c94c03..96b9dee 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -3,17 +3,17 @@ export("dea<-") export(DeeDeeExperiment) export(add_dea) -export(ddedde_app) -export(ddedde_bars) -export(ddedde_cat) -export(ddedde_heatmap) -export(ddedde_qq) -export(ddedde_qqmult) -export(ddedde_scatter) -export(ddedde_summary) -export(ddedde_upset) -export(ddedde_venn) export(dea) +export(deedee_app) +export(deedee_bars) +export(deedee_cat) +export(deedee_heatmap) +export(deedee_qq) +export(deedee_qqmult) +export(deedee_scatter) +export(deedee_summary) +export(deedee_upset) +export(deedee_venn) export(get_dea_df) export(get_dea_list) export(remove_dea) diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index eed343a..cfd479e 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -16,11 +16,13 @@ #' @importFrom ComplexUpset intersection_size upset #' @importFrom DESeq2 results DESeq #' @importFrom dplyr bind_rows full_join inner_join +#' @importFrom edgeR topTags #' @importFrom enrichplot emapplot pairwise_termsim #' @importFrom ggplot2 aes annotate coord_cartesian geom_line geom_point ggplot labs #' scale_fill_manual theme_light xlab ylab #' @importFrom ggvenn ggvenn #' @importFrom InteractiveComplexHeatmap makeInteractiveComplexHeatmap +#' @importFrom limma topTable #' @importFrom writexl write_xlsx #' @importFrom readxl excel_sheets read_excel #' @importFrom shiny actionButton brushedPoints brushOpts checkboxGroupInput From 2cd89ccca9e04d0775908b477106934989ef8da6 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 14 Nov 2022 21:04:36 +0100 Subject: [PATCH 119/182] ddedde -> deedee --- tests/testthat/test-DeeDee_app.R | 2 +- tests/testthat/test-DeeDee_misc.R | 2 +- tests/testthat/test-DeeDee_plots.R | 16 ++++++++-------- 3 files changed, 10 insertions(+), 10 deletions(-) diff --git a/tests/testthat/test-DeeDee_app.R b/tests/testthat/test-DeeDee_app.R index 76be536..5a9e9f1 100644 --- a/tests/testthat/test-DeeDee_app.R +++ b/tests/testthat/test-DeeDee_app.R @@ -2,7 +2,7 @@ test_that("shiny", { data(dd_list_original, package = "DeeDee") library("shiny") - myapp <- ddedde_app(dde = DeeDeeExperiment(se = se_macrophage_noassays, de_results = del)) + myapp <- deedee_app(dde = DeeDeeExperiment(se = se_macrophage_noassays, de_results = del)) expect_is(myapp, "shiny.appobj") }) diff --git a/tests/testthat/test-DeeDee_misc.R b/tests/testthat/test-DeeDee_misc.R index 90e09c8..964eed2 100644 --- a/tests/testthat/test-DeeDee_misc.R +++ b/tests/testthat/test-DeeDee_misc.R @@ -6,7 +6,7 @@ test_that("summary report", { ) temp_output_file <- "test_report.html" - ddedde_summary( + deedee_summary( dde = dde, template = system.file("extdata", "summary_template.Rmd", diff --git a/tests/testthat/test-DeeDee_plots.R b/tests/testthat/test-DeeDee_plots.R index e96004e..f758b9c 100644 --- a/tests/testthat/test-DeeDee_plots.R +++ b/tests/testthat/test-DeeDee_plots.R @@ -7,33 +7,33 @@ dde <- DeeDeeExperiment( library("dplyr") test_that("plotting & plotting", { - p_scatter <- ddedde_scatter(dde) + p_scatter <- deedee_scatter(dde) expect_is(p_scatter, "gg") - p_heatmap <- ddedde_heatmap(dde) + p_heatmap <- deedee_heatmap(dde) expect_is(p_heatmap, "Heatmap") - p_venn <- ddedde_venn(dde) + p_venn <- deedee_venn(dde) expect_is(p_venn, "gg") - p_upset <- ddedde_upset(dde) + p_upset <- deedee_upset(dde) expect_is(p_upset, "gg") - p_cat <- ddedde_cat(dde) + p_cat <- deedee_cat(dde) expect_is(p_cat, "gg") - p_qq <- ddedde_qq(dde) + p_qq <- deedee_qq(dde) expect_is(p_qq, "gg") - p_qq_m <- ddedde_qqmult(dde) + p_qq_m <- deedee_qqmult(dde) expect_is(p_qq_m, "gg") - # ddedde_summary(dde) + # deedee_summary(dde) }) From 37a0001a4d9c1f274177f8605db2c71943621b43 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 14 Nov 2022 21:05:15 +0100 Subject: [PATCH 120/182] ddedde to deedee also in template report --- inst/extdata/summary_template.Rmd | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/inst/extdata/summary_template.Rmd b/inst/extdata/summary_template.Rmd index 2c5a25c..d1b5edf 100644 --- a/inst/extdata/summary_template.Rmd +++ b/inst/extdata/summary_template.Rmd @@ -41,7 +41,7 @@ library("DeeDee") ## DeeDee scatter plot ```{r echo = TRUE} -ddedde_scatter(dde = dde, +deedee_scatter(dde = dde, pthresh = pthresh, select1 = scatter_select1, select2 = scatter_select2, @@ -60,7 +60,7 @@ Your parameters: ## DeeDee heatmap ```{r echo = TRUE} -ddedde_heatmap(dde = dde, +deedee_heatmap(dde = dde, pthresh = pthresh, show_first = heatmap_show_first, show_gene_names = heatmap_show_gene_names, @@ -83,7 +83,7 @@ Your parameters: ## DeeDee Venn diagram ```{r echo = TRUE} -ddedde_venn(dde = dde, +deedee_venn(dde = dde, pthresh = pthresh, mode = venn_mode) ``` @@ -98,7 +98,7 @@ Your parameters: ## DeeDee UpSet plot ```{r echo = TRUE} -ddedde_upset(dde = dde, +deedee_upset(dde = dde, pthresh = pthresh, mode = upset_mode, min_setsize = upset_min_setsize) @@ -115,7 +115,7 @@ Your parameters: ## DeeDee Q-Q plot ```{r echo = TRUE} -ddedde_qqmult(dde = dde, +deedee_qqmult(dde = dde, pthresh = pthresh, ref = qqmult_ref) ``` @@ -130,7 +130,7 @@ Your parameters: ## DeeDee CAT plot ```{r echo = TRUE} -ddedde_cat(dde = dde, +deedee_cat(dde = dde, pthresh = pthresh, ref = cat_ref, maxrank = cat_maxrank, From 4a74742a34dc536c1f21515b61cbfd55b09aa98b Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 14 Nov 2022 21:07:28 +0100 Subject: [PATCH 121/182] precise specification of param --- R/DeeDeeExperiment.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 2ad1b45..59bc9ef 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -246,7 +246,7 @@ DeeDeeExperiment <- function(se = NULL, # extract columns res_tbl <- topTable(res_de, coef = 2, - n = nrow(res_de), + number = nrow(res_de), sort.by = "none") From 7cc4d1e9bd7766639f3489d66e70eb6e1618ae47 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 14 Nov 2022 21:56:46 +0100 Subject: [PATCH 122/182] quiet rendering of summary by default --- R/DeeDee_summary.R | 5 ++++- man/deedee_summary.Rd | 3 +++ 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/R/DeeDee_summary.R b/R/DeeDee_summary.R index efe6a25..3f44f54 100644 --- a/R/DeeDee_summary.R +++ b/R/DeeDee_summary.R @@ -20,6 +20,7 @@ #' @param cat_ref todo #' @param cat_maxrank todo #' @param cat_mode todo +#' @param render_quiet todo #' @param silent todo #' @param open_file todo #' @@ -66,6 +67,7 @@ deedee_summary <- function(dde, cat_ref = 1, cat_maxrank = 1000, cat_mode = "up", + render_quiet = TRUE, silent = FALSE, open_file = TRUE) { @@ -133,7 +135,8 @@ deedee_summary <- function(dde, args$output_path <- output_path output_path <- rmarkdown::render(output_rmd, - params = args + params = args, + quiet = render_quiet ) if (open_file == TRUE) { utils::browseURL(output_path) diff --git a/man/deedee_summary.Rd b/man/deedee_summary.Rd index 5d8bd71..2f7ca76 100644 --- a/man/deedee_summary.Rd +++ b/man/deedee_summary.Rd @@ -25,6 +25,7 @@ deedee_summary( cat_ref = 1, cat_maxrank = 1000, cat_mode = "up", + render_quiet = TRUE, silent = FALSE, open_file = TRUE ) @@ -70,6 +71,8 @@ deedee_summary( \item{cat_mode}{todo} +\item{render_quiet}{todo} + \item{silent}{todo} \item{open_file}{todo} From 4b133a0ebec27a43bdac898a4c4acabac0d68388 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 23 Nov 2022 23:35:00 +0100 Subject: [PATCH 123/182] getting the mock from no/empty SE to work --- R/DeeDeeExperiment.R | 42 ++++++++++++++++++++++-------------------- 1 file changed, 22 insertions(+), 20 deletions(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 59bc9ef..5b5188c 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -39,26 +39,28 @@ DeeDeeExperiment <- function(se = NULL, if(is.null(de_results)) stop("You have to provide at least an se object or a de_results object") - message("TODO: needs to create a mock SE that does not break the creation later?!") - ## mock - todo ## # mock up the se from the de_results - ## mock - todo ## first_de <- de_results[[1]] - ## mock - todo ## - ## mock - todo ## # independently of the class, the feature names are in the rownames slot, TODO: check - ## mock - todo ## ids <- rownames(first_de) - ## mock - todo ## - ## mock - todo ## rd_mock <- DataFrame( - ## mock - todo ## gene_id = ids, - ## mock - todo ## row.names = ids) - ## mock - todo ## - ## mock - todo ## # way1 - ## mock - todo ## se_mock <- SummarizedExperiment( - ## mock - todo ## assays = SimpleList(), - ## mock - todo ## rowData = rd_mock - ## mock - todo ## ) - ## mock - todo ## # se_mock@NAMES <- NULL - ## mock - todo ## # rownames(se_mock) <- ids - ## mock - todo ## - ## mock - todo ## se <- se_mock + message("creating a mock SE from the rows of the DE result objects") + # mock up the se from the de_results + first_de <- de_results[[1]] + + # independently of the class, the feature names are in the + # rownames slot, TODO: check + ids <- rownames(first_de) + + rd_mock <- DataFrame( + gene_id = ids, + row.names = ids) + + # way1 + se_mock <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_mock + ) + # se_mock@NAMES <- NULL + # rownames(se_mock) <- ids + + # no clue why this is strictly needed, but still it seems it is, if mocking up + se <- as(se_mock, "RangedSummarizedExperiment") } # TODO: if no SE is really provided, instantiate some rownames, at least directly From d174b78f2abf7eedeac72b3933dc704954403ae8 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 23 Nov 2022 23:35:09 +0100 Subject: [PATCH 124/182] fixing imports --- NAMESPACE | 2 ++ R/DeeDee-pkg.R | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/NAMESPACE b/NAMESPACE index 96b9dee..b81ad48 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -36,6 +36,8 @@ importFrom(DESeq2,DESeq) importFrom(DESeq2,results) importFrom(InteractiveComplexHeatmap,makeInteractiveComplexHeatmap) importFrom(S4Vectors,"metadata<-") +importFrom(S4Vectors,DataFrame) +importFrom(S4Vectors,SimpleList) importFrom(S4Vectors,metadata) importFrom(SummarizedExperiment,"rowData<-") importFrom(SummarizedExperiment,SummarizedExperiment) diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index cfd479e..d1944fb 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -42,7 +42,7 @@ #' @importFrom tools file_ext #' @importFrom utils read.table data packageVersion #' @importFrom viridis scale_color_viridis viridis -#' @importFrom S4Vectors metadata metadata<- +#' @importFrom S4Vectors metadata metadata<- DataFrame SimpleList #' @importFrom rlang .data #' @import methods #' From abff34344a8ffb18937315bf7975241a4a7d2e3d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 23 Nov 2022 23:35:26 +0100 Subject: [PATCH 125/182] adding test for case with no SE object provided at all --- tests/testthat/test-DeeDeeExperiment.R | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tests/testthat/test-DeeDeeExperiment.R b/tests/testthat/test-DeeDeeExperiment.R index aa06ca0..2517633 100644 --- a/tests/testthat/test-DeeDeeExperiment.R +++ b/tests/testthat/test-DeeDeeExperiment.R @@ -6,12 +6,12 @@ test_that("creating", { dde expect_is(dde, "DeeDeeExperiment") - new_del <- list( - ifng2 = del$ifng_vs_naive, - ifngsalmo2 = del$ifngsalmo_vs_naive + + dde_only_de <- DeeDeeExperiment( + de_results = del ) - # add a new (set of) DE result(s) - dde_new <- add_dea(dde, new_del) + expect_is(dde, "DeeDeeExperiment") + }) From ce0b27d7bad5e81da76eab6a749e029a9b09ad33 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 24 Nov 2022 02:04:42 +0100 Subject: [PATCH 126/182] adding validity checks --- R/validity.R | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/R/validity.R b/R/validity.R index 65f32a5..6484980 100644 --- a/R/validity.R +++ b/R/validity.R @@ -1,16 +1,20 @@ validDeeDeeExperiment <- function(object) { msg <- NULL - if (!is(object@dea, "list")) { + if (!is(dea(object), "list")) { msg <- c(msg, "'dea' must be a list") } + if (length(dea(object)) == 0) { + msg <- c(msg, "'dea' must be a non-empty list") + } + if (length(dea(object)) > 0) { if (any(is.null(names(object@dea)))) { msg <- c(msg, "'dea' must be a named list") } - dea_names <- names(object@dea) + dea_names <- names(dea(object)) required_rowdata <- unlist( lapply( From fc388ef865d498fab1f0302f0e14be3d1189cbaf Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 24 Nov 2022 02:04:58 +0100 Subject: [PATCH 127/182] testing validity - yet somehow no coverage increase to show? --- tests/testthat/test-DeeDeeExperiment.R | 25 +++++++++++++++++++++++++ 1 file changed, 25 insertions(+) diff --git a/tests/testthat/test-DeeDeeExperiment.R b/tests/testthat/test-DeeDeeExperiment.R index 2517633..b96b0f6 100644 --- a/tests/testthat/test-DeeDeeExperiment.R +++ b/tests/testthat/test-DeeDeeExperiment.R @@ -35,3 +35,28 @@ test_that("adding and removing", { expect_is(dde_removed, "DeeDeeExperiment") expect_equal(length(dea(dde_removed)), 3) }) + + +test_that("validity and so", { + dde2 <- DeeDeeExperiment( + se_macrophage_noassays, + de_results = del + ) + + expect_true(validObject(dde2)) + + rowData(dde2)[["ifng_vs_naive_log2FoldChange"]] <- NULL + expect_error(validObject(dde2)) + + dde3 <- DeeDeeExperiment( + se_macrophage_noassays, + de_results = del + ) + + # invalid replacements + dde3@dea <- list() + expect_error(validObject(dde3)) + + dde3@dea <- list("foo", "bar") + expect_error(validObject(dde3)) +}) From 12b80d0bb8c97b8b4108d2f8c672911a063cdd0b Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 24 Nov 2022 02:22:11 +0100 Subject: [PATCH 128/182] using setValidity2 from S4Vectors, that triggers the coverage (?!) --- R/validity.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/R/validity.R b/R/validity.R index 6484980..293f37e 100644 --- a/R/validity.R +++ b/R/validity.R @@ -38,5 +38,6 @@ validDeeDeeExperiment <- function(object) { } -setValidity("DeeDeeExperiment", validDeeDeeExperiment) +#' @importFrom S4Vectors setValidity2 +S4Vectors::setValidity2("DeeDeeExperiment", validDeeDeeExperiment) From 4f81224b5948f853c737a77d79a5fe7913be5c87 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 24 Nov 2022 11:45:42 +0100 Subject: [PATCH 129/182] using accessors in the validity function --- R/validity.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/validity.R b/R/validity.R index 293f37e..6160f00 100644 --- a/R/validity.R +++ b/R/validity.R @@ -10,7 +10,7 @@ validDeeDeeExperiment <- function(object) { } if (length(dea(object)) > 0) { - if (any(is.null(names(object@dea)))) { + if (any(is.null(names(dea(object))))) { msg <- c(msg, "'dea' must be a named list") } From 896dcbee239f88a5ec235c13278974fb4b9c838e Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 24 Nov 2022 18:02:26 +0100 Subject: [PATCH 130/182] no-cov'ing the older helpers - revisit later --- R/DeeDee-app_helpers.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/R/DeeDee-app_helpers.R b/R/DeeDee-app_helpers.R index 4327752..17d8270 100644 --- a/R/DeeDee-app_helpers.R +++ b/R/DeeDee-app_helpers.R @@ -1,4 +1,4 @@ - +# nocov start rds_input <- function(obj, nm) { @@ -227,3 +227,4 @@ input_infobox <- function(deedee_obj, df <- data.frame(filename, type, contrast, genes) return(df) } +# nocov end From 611370ffc58f02919fe0172fdb7b4616d9be664b Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 24 Nov 2022 18:02:48 +0100 Subject: [PATCH 131/182] relax validity - enables empty list to be in --- R/validity.R | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/R/validity.R b/R/validity.R index 6160f00..6fedf3d 100644 --- a/R/validity.R +++ b/R/validity.R @@ -5,9 +5,9 @@ validDeeDeeExperiment <- function(object) { msg <- c(msg, "'dea' must be a list") } - if (length(dea(object)) == 0) { - msg <- c(msg, "'dea' must be a non-empty list") - } + # if (length(dea(object)) == 0) { + # msg <- c(msg, "'dea' must be a non-empty list") + # } if (length(dea(object)) > 0) { if (any(is.null(names(dea(object))))) { From 5c3ac1cd8d8ae684663eec8ad87f9b27b53f03f0 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 24 Nov 2022 18:03:11 +0100 Subject: [PATCH 132/182] relax part2 --- tests/testthat/test-DeeDeeExperiment.R | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/tests/testthat/test-DeeDeeExperiment.R b/tests/testthat/test-DeeDeeExperiment.R index b96b0f6..dafe634 100644 --- a/tests/testthat/test-DeeDeeExperiment.R +++ b/tests/testthat/test-DeeDeeExperiment.R @@ -54,8 +54,9 @@ test_that("validity and so", { ) # invalid replacements - dde3@dea <- list() - expect_error(validObject(dde3)) + ## actually, can enable it is an empty list (i.e. no DE (yet) inserted) + # dde3@dea <- list() + # expect_error(validObject(dde3)) dde3@dea <- list("foo", "bar") expect_error(validObject(dde3)) From f35e201e5c72ffceca0bbd00409459ca3cbce86d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 24 Nov 2022 18:03:29 +0100 Subject: [PATCH 133/182] trigger error in re-generating summary without overwriting explicitly --- tests/testthat/test-DeeDee_misc.R | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/tests/testthat/test-DeeDee_misc.R b/tests/testthat/test-DeeDee_misc.R index 964eed2..1403c8b 100644 --- a/tests/testthat/test-DeeDee_misc.R +++ b/tests/testthat/test-DeeDee_misc.R @@ -14,6 +14,17 @@ test_that("summary report", { output_path = temp_output_file ) + # trigger error by trying to overwrite + expect_error( + deedee_summary( + dde = dde, + template = system.file("extdata", + "summary_template.Rmd", + package = "DeeDee"), + output_path = temp_output_file + ) + ) + # browseURL(temp_output_file) expect_true(file.exists(temp_output_file)) From b8d7092408244437aa8c406b05088e28b4ae852e Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 24 Nov 2022 18:03:52 +0100 Subject: [PATCH 134/182] bit more corner cases plus testing the show method as well, w explicit call --- tests/testthat/test-DeeDeeExperiment.R | 40 +++++++++++++++++++++++++- 1 file changed, 39 insertions(+), 1 deletion(-) diff --git a/tests/testthat/test-DeeDeeExperiment.R b/tests/testthat/test-DeeDeeExperiment.R index dafe634..9a19bd1 100644 --- a/tests/testthat/test-DeeDeeExperiment.R +++ b/tests/testthat/test-DeeDeeExperiment.R @@ -3,7 +3,8 @@ test_that("creating", { se_macrophage_noassays, de_results = del ) - dde + + print(dde) expect_is(dde, "DeeDeeExperiment") @@ -12,6 +13,43 @@ test_that("creating", { ) expect_is(dde, "DeeDeeExperiment") + dde_nodd <- DeeDeeExperiment( + se = se_macrophage_noassays, + ) + expect_is(dde_nodd, "DeeDeeExperiment") + + + expect_is( + get_dea_df(dde, "ifng_vs_naive"), "DataFrame" + ) + + expect_error( + get_dea_df(dde, "wrong_name") + ) + + dde_gone_wrong <- dde + rowData(dde_gone_wrong)[["ifng_vs_naive_log2FoldChange"]] <- NULL + expect_error( + get_dea_df(dde_gone_wrong, "ifng_vs_naive") + ) + + expect_error( + DeeDeeExperiment( + rowData(se_macrophage_noassays), + de_results = del + ) + ) + + expect_error( + DeeDeeExperiment( + assay(se_macrophage), + de_results = del + ) + ) + + expect_error( + DeeDeeExperiment() + ) }) From 8ebaade9647df19f940b8fcdfd61fb88139e8d66 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 24 Nov 2022 18:04:10 +0100 Subject: [PATCH 135/182] covering some sub-routines in the plotting functions --- tests/testthat/test-DeeDee_plots.R | 20 ++++++++++++++++++-- 1 file changed, 18 insertions(+), 2 deletions(-) diff --git a/tests/testthat/test-DeeDee_plots.R b/tests/testthat/test-DeeDee_plots.R index f758b9c..30061ee 100644 --- a/tests/testthat/test-DeeDee_plots.R +++ b/tests/testthat/test-DeeDee_plots.R @@ -18,22 +18,38 @@ test_that("plotting & plotting", { p_venn <- deedee_venn(dde) expect_is(p_venn, "gg") + p_venn_up <- deedee_venn(dde, mode = "up") + expect_is(p_venn_up, "gg") + p_venn_down <- deedee_venn(dde, mode = "down") + expect_is(p_venn_down, "gg") + p_upset <- deedee_upset(dde) expect_is(p_upset, "gg") + p_upset_both <- deedee_upset(dde, mode = "both") + expect_is(p_upset_both, "gg") + + p_upset_up <- deedee_upset(dde, mode = "up") + expect_is(p_upset_up, "gg") + p_upset_down <- deedee_upset(dde, mode = "down") + expect_is(p_upset_down, "gg") + p_cat <- deedee_cat(dde) expect_is(p_cat, "gg") + p_cat_down <- deedee_cat(dde, mode = "down") + expect_is(p_cat_down, "gg") + p_cat_both <- deedee_cat(dde, mode = "both") + expect_is(p_cat_both, "gg") + p_qq <- deedee_qq(dde) expect_is(p_qq, "gg") p_qq_m <- deedee_qqmult(dde) expect_is(p_qq_m, "gg") - - # deedee_summary(dde) }) From 0b55187e2d749440872944451d46debc84456496 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 24 Nov 2022 18:04:18 +0100 Subject: [PATCH 136/182] updating namespace --- NAMESPACE | 1 + 1 file changed, 1 insertion(+) diff --git a/NAMESPACE b/NAMESPACE index b81ad48..0164267 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -39,6 +39,7 @@ importFrom(S4Vectors,"metadata<-") importFrom(S4Vectors,DataFrame) importFrom(S4Vectors,SimpleList) importFrom(S4Vectors,metadata) +importFrom(S4Vectors,setValidity2) importFrom(SummarizedExperiment,"rowData<-") importFrom(SummarizedExperiment,SummarizedExperiment) importFrom(SummarizedExperiment,mcols) From 64cf14dbde87b55cb5802a257a1061f9c69197bf Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 19 Dec 2022 22:57:11 +0100 Subject: [PATCH 137/182] updated roxygen version --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index c32ebde..c7b8c4b 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -21,7 +21,7 @@ Description: DeeDee is a collection of functions to compare the results of two License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) -RoxygenNote: 7.2.2 +RoxygenNote: 7.2.3 Depends: R (>= 4.1.0) Imports: From b93a4b713ac223136b601d19664565d4f65438b1 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 5 Jan 2023 14:09:59 +0100 Subject: [PATCH 138/182] updating R version requirement --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index c7b8c4b..e948f4b 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -23,7 +23,7 @@ Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.2.3 Depends: - R (>= 4.1.0) + R (>= 4.2.0) Imports: AnnotationDbi, checkmate, From d95698108c1b338eabdf737f5531f0ab1e0484fa Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 5 Jan 2023 14:10:14 +0100 Subject: [PATCH 139/182] class check done with is --- R/DeeDee-app.R | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index f60a375..be3695d 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -615,8 +615,8 @@ deedee_app <- function(deedee_obj = NULL, ) shiny::validate( shiny::need( - class(res) == "enrichResult", - "Not working." + is(res, "enrichResult"), + message = "Not working." ) ) @@ -627,7 +627,7 @@ deedee_app <- function(deedee_obj = NULL, shiny::validate( shiny::need( !is.null(enrich()), - "Something went wrong..." + message = "Something went wrong..." ) ) en <- enrich() @@ -635,7 +635,7 @@ deedee_app <- function(deedee_obj = NULL, shiny::validate( shiny::need( nrow(en_df) > 0, - "No enriched terms found." + message = "No enriched terms found." ) ) @@ -644,10 +644,10 @@ deedee_app <- function(deedee_obj = NULL, shiny::validate( shiny::need( !is.null(plt), - "No enriched terms found." + message = "No enriched terms found." ) ) - print(plt) + return(plt) }) output$btn_ora_download <- shiny::downloadHandler( From 94935d2581833a0d46387c0a7ca7ffaf8881c299 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 5 Jan 2023 14:10:33 +0100 Subject: [PATCH 140/182] adding explicitly message param mention in need statements --- R/DeeDee-app.R | 56 ++++++++++++++++++++++++++------------------------ 1 file changed, 29 insertions(+), 27 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index be3695d..0dc10c7 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -247,7 +247,7 @@ deedee_app <- function(deedee_obj = NULL, ext[[i]] == "RDS" || ext[[i]] == "xlsx" || ext[[i]] == "txt", - "Please upload only .RDS, .xlsx or .txt files" + message = "Please upload only .RDS, .xlsx or .txt files" ) ) @@ -372,7 +372,7 @@ deedee_app <- function(deedee_obj = NULL, output$inp_infobox <- shiny::renderTable({ shiny::validate(shiny::need( !is.null(mydata()@DeeDeeList), - "Faulty input data provided." + message = "Faulty input data provided." )) shiny::req( @@ -494,14 +494,14 @@ deedee_app <- function(deedee_obj = NULL, shiny::need( # length(mydata()@DeeDeeList) >= 2, length(dea(my_deedee())) >= 2, - "Please upload at least two contrasts." + message = "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( # length(mydata_use()) >= 2, length(dea(my_deedee_use())) >= 2, - "Please select at least two contrasts." + message = "Please select at least two contrasts." ) ) @@ -518,7 +518,9 @@ deedee_app <- function(deedee_obj = NULL, ) shiny::validate( - shiny::need(!is.null(res), "No common genes in input datasets.") + shiny::need( + !is.null(res), + message = "No common genes in input datasets.") ) res + ggplot2::coord_cartesian( @@ -597,7 +599,7 @@ deedee_app <- function(deedee_obj = NULL, shiny::validate( shiny::need( scatter_brushed(), - "No brushed genes." + message = "No brushed genes." ) ) @@ -739,20 +741,20 @@ deedee_app <- function(deedee_obj = NULL, shiny::need( # length(mydata()@DeeDeeList) >= 2, length(dea(my_deedee())) >= 2, - "Please upload at least two contrasts." + message = "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( # length(mydata_use()) >= 2, length(dea(my_deedee_use())) >= 2, - "Please select at least two contrasts." + message = "Please select at least two contrasts." ) ) shiny::validate( shiny::need( !is.null(heatmap_output()), - "No common genes in input datasets." + message = "No common genes in input datasets." ) ) "" @@ -775,7 +777,7 @@ deedee_app <- function(deedee_obj = NULL, show_na = input$in_heatmap_showNA ) shiny::validate( - shiny::need(!is.null(res), "No common genes in input datasets.") + shiny::need(!is.null(res), message = "No common genes in input datasets.") ) res <- ComplexHeatmap::draw(res) @@ -888,14 +890,14 @@ deedee_app <- function(deedee_obj = NULL, shiny::need( # length(mydata()@DeeDeeList) >= 2, length(dea(my_deedee())) >= 2, - "Please upload at least two contrasts." + message = "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( # length(mydata_use()) >= 2, length(dea(my_deedee_use())) >= 2, - "Please select at least two contrasts." + message = "Please select at least two contrasts." ) ) @@ -912,7 +914,7 @@ deedee_app <- function(deedee_obj = NULL, shiny::validate( shiny::need( !is.null(res), - "No genes in your datasets. Maybe your specified p-value threshold is too low?" + message = "No genes in your datasets. Maybe your specified p-value threshold is too low?" ) ) @@ -979,14 +981,14 @@ deedee_app <- function(deedee_obj = NULL, shiny::need( # length(mydata()@DeeDeeList) >= 2, length(dea(my_deedee())) >= 2, - "Please upload at least two contrasts." + message = "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( # length(mydata_use()) >= 2, length(dea(my_deedee_use())) >= 2, - "Please select at least two contrasts." + message = "Please select at least two contrasts." ) ) @@ -1010,7 +1012,7 @@ deedee_app <- function(deedee_obj = NULL, shiny::validate( shiny::need( !is.null(res), - "No genes in your datasets. Maybe your specified p-value threshold is too low?" + message = "No genes in your datasets. Maybe your specified p-value threshold is too low?" ) ) res @@ -1137,14 +1139,14 @@ deedee_app <- function(deedee_obj = NULL, shiny::need( # length(mydata()@DeeDeeList) >= 2, length(dea(my_deedee())) >= 2, - "Please upload at least two contrasts." + message = "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( # length(mydata_use()) >= 2, length(dea(my_deedee_use())) >= 2, - "Please select at least two contrasts." + message = "Please select at least two contrasts." ) ) @@ -1168,7 +1170,7 @@ deedee_app <- function(deedee_obj = NULL, shiny::validate( shiny::need( !is.null(res), - "No genes in your datasets. Maybe your specified p-value threshold is too low?" + message = "No genes in your datasets. Maybe your specified p-value threshold is too low?" ) ) @@ -1180,14 +1182,14 @@ deedee_app <- function(deedee_obj = NULL, shiny::need( # length(mydata()@DeeDeeList) >= 2, length(dea(my_deedee())) >= 2, - "Please upload at least two contrasts." + message = "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( # length(mydata_use()) >= 2, length(dea(my_deedee_use())) >= 2, - "Please select at least two contrasts." + message = "Please select at least two contrasts." ) ) @@ -1206,7 +1208,7 @@ deedee_app <- function(deedee_obj = NULL, shiny::validate( shiny::need( !is.null(res), - "No genes in your datasets. Maybe your specified p-value threshold is too low?" + message = "No genes in your datasets. Maybe your specified p-value threshold is too low?" ) ) @@ -1370,14 +1372,14 @@ deedee_app <- function(deedee_obj = NULL, shiny::need( # length(mydata()@DeeDeeList) >= 2, length(dea(my_deedee())) >= 2, - "Please upload at least two contrasts." + message = "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( # length(mydata_use()) >= 2, length(dea(my_deedee_use())) >= 2, - "Please select at least two contrasts." + message = "Please select at least two contrasts." ) ) @@ -1400,7 +1402,7 @@ deedee_app <- function(deedee_obj = NULL, shiny::validate( shiny::need( !is.null(res), - "No genes in your datasets. Maybe your specified p-value threshold is too low?" + message = "No genes in your datasets. Maybe your specified p-value threshold is too low?" ) ) @@ -1627,14 +1629,14 @@ deedee_app <- function(deedee_obj = NULL, shiny::need( # length(mydata()@DeeDeeList) >= 2, length(dea(my_deedee())) >= 2, - "Please upload at least two contrasts." + message = "Please upload at least two contrasts." ) ) shiny::validate( shiny::need( # length(mydata_use()) >= 2, length(dea(my_deedee_use())) >= 2, - "Please select at least two contrasts." + message = "Please select at least two contrasts." ) ) From 21091b70a5ca550e0a780e8fb8b2215283e6c9b8 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 5 Jan 2023 14:10:47 +0100 Subject: [PATCH 141/182] adding example for creating dde objects --- R/DeeDeeExperiment.R | 22 +++++++++++++++++++++- man/DeeDeeExperiment.Rd | 22 +++++++++++++++++++++- 2 files changed, 42 insertions(+), 2 deletions(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 5b5188c..887708b 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -13,7 +13,27 @@ #' @export #' #' @examples -#' # todo +#' data("de_named_list", package = "DeeDee") +#' +#' dde_onlyde <- DeeDeeExperiment( +#' de_results = del +#' ) +#' +#' # or, with a SE object as support - even without assay data available +#' library("SummarizedExperiment") +#' +#' rd_macrophage <- DataFrame( +#' gene_id = rownames(del$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' se_macrophage_noassays <- SummarizedExperiment( +#' assays = SimpleList(), +#' rowData = rd_macrophage +#' ) +#' +#' dde <- DeeDeeExperiment( +#' se_macrophage_noassays, +#' de_results = del +#' ) DeeDeeExperiment <- function(se = NULL, de_results = NULL) { diff --git a/man/DeeDeeExperiment.Rd b/man/DeeDeeExperiment.Rd index 80cc932..73f7c7c 100644 --- a/man/DeeDeeExperiment.Rd +++ b/man/DeeDeeExperiment.Rd @@ -26,5 +26,25 @@ dde <- DeeDeeExperiment(se_macrophage, de_results = del) }} \examples{ -# todo +data("de_named_list", package = "DeeDee") + +dde_onlyde <- DeeDeeExperiment( + de_results = del +) + +# or, with a SE object as support - even without assay data available +library("SummarizedExperiment") + +rd_macrophage <- DataFrame( + gene_id = rownames(del$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +se_macrophage_noassays <- SummarizedExperiment( + assays = SimpleList(), + rowData = rd_macrophage +) + +dde <- DeeDeeExperiment( + se_macrophage_noassays, + de_results = del +) } From d509279859c1144ba37c95a14bf227292d2f5ad9 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Fri, 6 Jan 2023 23:22:33 +0100 Subject: [PATCH 142/182] 1:... replaced by seq_len calls --- R/DeeDee-app.R | 4 ++-- R/DeeDee-app_helpers.R | 10 +++++----- R/DeeDee_cat.R | 13 ++++++++----- R/DeeDee_heatmap.R | 8 +++----- R/DeeDee_qq.R | 2 +- R/DeeDee_qqmult.R | 2 +- R/DeeDee_upset.R | 4 ++-- R/DeeDee_venn.R | 2 +- 8 files changed, 23 insertions(+), 22 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 0dc10c7..055bc2c 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -278,8 +278,8 @@ deedee_app <- function(deedee_obj = NULL, # merging input data structures dat <- list() - for (i in 1:length(res)) { - for (j in 1:length(res[[i]])) { + for (i in seq_len(length(res))) { + for (j in seq_len(length(res[[i]]))) { checkmate::assert_subset(names(res[[i]][[j]]), c("logFC", "pval")) dat[[names(res[[i]])[[j]]]] <- res[[i]][[j]] } diff --git a/R/DeeDee-app_helpers.R b/R/DeeDee-app_helpers.R index 17d8270..cf5f07e 100644 --- a/R/DeeDee-app_helpers.R +++ b/R/DeeDee-app_helpers.R @@ -77,7 +77,7 @@ xlsx_input <- function(obj, path = path ) names(out) <- obj - for (j in 1:length(obj)) { + for (j in seq_len(length(obj))) { out[[obj[j]]] <- as.data.frame(out[[obj[j]]]) out[[obj[j]]] <- tibble::column_to_rownames( out[[obj[j]]], "rowname" @@ -152,7 +152,7 @@ input_infobox <- function(deedee_obj, count <- 0 if (!is.null(deedee_obj)) { - for (j in 1:length(deedee_obj@DeeDeeList)) { + for (j in seq_len(length(deedee_obj@DeeDeeList))) { count <- count + 1 type[count] <- "DeeDee object" filename[count] <- "input as argument" @@ -164,7 +164,7 @@ input_infobox <- function(deedee_obj, # reading out input files if (length(sets[, 1] > 0)) { - for (i in 1:(length(sets[, 1]))) { + for (i in seq_len((length(sets[, 1])))) { ext[i] <- tools::file_ext(sets[i, "datapath"]) if (ext[[i]] == "rds" || ext[[i]] == "RDS") { @@ -176,7 +176,7 @@ input_infobox <- function(deedee_obj, path = sets[[i, "datapath"]] ) names(res[[i]]) <- sheets - for (j in 1:length(sheets)) { + for (j in seq_len(length(sheets))) { res[[i]][[sheets[j]]] <- as.data.frame(res[[i]][[sheets[j]]]) res[[i]][[sheets[j]]] <- tibble::column_to_rownames( res[[i]][[sheets[j]]], "rowname" @@ -212,7 +212,7 @@ input_infobox <- function(deedee_obj, fixed = TRUE ))[1] } - for (j in 1:length(res[[i]])) { + for (j in seq_len(length(res[[i]]))) { count <- count + 1 type[count] <- "DeeDee object" filename[count] <- sets[i, "name"] diff --git a/R/DeeDee_cat.R b/R/DeeDee_cat.R index a951b73..e2c1b8f 100644 --- a/R/DeeDee_cat.R +++ b/R/DeeDee_cat.R @@ -45,7 +45,7 @@ deedee_cat <- function(dde, dea_list <- get_dea_list(dde) - for (i in 1:length(dea_list)) { + for (i in seq_along(dea_list)) { dea_list[i][[1]] <- subset( dea_list[i][[1]], dea_list[i][[1]]$padj < pthresh @@ -76,15 +76,18 @@ deedee_cat <- function(dde, output <- list() nm <- c() - for (i in 1:length(dea_list)) { + for (i in seq_len(length(dea_list))) { if (i != ref) { output[[i]] <- data.frame( - rank = 1:min(maxrank, length(dea_list[i][[1]])), + rank = seq_len(min(maxrank, length(dea_list[i][[1]]))), concordance = NA ) - for (j in 1:nrow(output[[i]])) { - intsec <- intersect(dea_list[ref][[1]][1:j], dea_list[i][[1]][1:j]) + for (j in seq_len(nrow(output[[i]]))) { + intsec <- intersect( + dea_list[ref][[1]][seq_len(j)], + dea_list[i][[1]][seq_len(j)] + ) output[[i]][[j, "concordance"]] <- length(intsec) / j } nm[[i]] <- names(dea_list[i]) diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R index 6b984a1..b620564 100644 --- a/R/DeeDee_heatmap.R +++ b/R/DeeDee_heatmap.R @@ -61,7 +61,7 @@ deedee_heatmap <- function(dde, dea_list <- get_dea_list(dde) # and then proceed as for the old implementation - for (i in 1:length(dea_list)) { + for (i in seq_len(length(dea_list))) { dea_list[[i]] <- subset(dea_list[[i]], dea_list[[i]]$padj < pthresh) # pthresh dea_list[[i]] <- dea_list[[i]]["log2FoldChange"] # removing p-value column colnames(dea_list[[i]]) <- names(dea_list)[[i]] # creating unique colnames @@ -101,10 +101,8 @@ deedee_heatmap <- function(dde, col <- viridis::viridis(n = 15, option = "magma") - res <- ComplexHeatmap::Heatmap(comp[1:min( - show_first, - length(comp[, 1]) - ), ], + res <- ComplexHeatmap::Heatmap( + comp[seq_len(min(show_first, length(comp[, 1]))), ], name = "logFC", col = col, clustering_distance_rows = dist, diff --git a/R/DeeDee_qq.R b/R/DeeDee_qq.R index 66d2391..29fa72a 100644 --- a/R/DeeDee_qq.R +++ b/R/DeeDee_qq.R @@ -51,7 +51,7 @@ deedee_qq <- function(dde, data_red <- list(dea_list[[select1]], dea_list[[select2]]) - for (i in 1:length(data_red)) { + for (i in seq_len(length(data_red))) { colnames(data_red[[i]]) <- c( paste("log2FoldChange", i, sep = ""), paste("pval", i, sep = ""), diff --git a/R/DeeDee_qqmult.R b/R/DeeDee_qqmult.R index 05dab62..ed39024 100644 --- a/R/DeeDee_qqmult.R +++ b/R/DeeDee_qqmult.R @@ -42,7 +42,7 @@ deedee_qqmult <- function(dde, output <- list() nm <- c() - for (i in 1:length(dea_list)) { + for (i in seq_len(length(dea_list))) { if (i != ref) { output[[i]] <- data.frame( ggplot2::ggplot_build(deedee_qq( diff --git a/R/DeeDee_upset.R b/R/DeeDee_upset.R index e2c1638..5dc4e2f 100644 --- a/R/DeeDee_upset.R +++ b/R/DeeDee_upset.R @@ -41,7 +41,7 @@ deedee_upset <- function(dde, dea_list <- get_dea_list(dde) - for (i in 1:length(dea_list)) { + for (i in seq_len(length(dea_list))) { dea_list[[i]] <- subset(dea_list[[i]], dea_list[[i]]$padj < pthresh) # pthresh if (length(dea_list[[i]][[1]]) == 0) { @@ -94,7 +94,7 @@ deedee_upset <- function(dde, nsets <- length(dea_list) - for (i in 1:length(comp[[1]])) { + for (i in seq_len(length(comp[[1]]))) { if ((comp[i, "count"] + comp[i, "na_count"]) == nsets) { comp[i, "dr"] <- "up" } else if ((comp[i, "count"] - comp[i, "na_count"]) == -nsets) { diff --git a/R/DeeDee_venn.R b/R/DeeDee_venn.R index 06b4ffc..9e08a4c 100644 --- a/R/DeeDee_venn.R +++ b/R/DeeDee_venn.R @@ -40,7 +40,7 @@ deedee_venn <- function(dde, dea_list <- get_dea_list(dde) - for (i in 1:length(dea_list)) { + for (i in seq_len(length(dea_list))) { dea_list[[i]] <- subset( dea_list[[i]], dea_list[[i]]$padj < pthresh From b2549d6929b4a7a81932f5bed6186fae9a51b57c Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 9 Jan 2023 14:52:16 +0100 Subject: [PATCH 143/182] fixing all namespace imports, moving rmarkdown to explicit import --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index e948f4b..8711868 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -39,6 +39,7 @@ Imports: InteractiveComplexHeatmap, limma, readxl, + rmarkdown, rvest, shiny, shinydashboard, @@ -58,7 +59,6 @@ Imports: rlang Suggests: macrophage, - rmarkdown, knitr, org.Hs.eg.db, org.Mm.eg.db, From ed81a871ef516d6a7e3247f3c2de4a440bd2f113 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 9 Jan 2023 14:52:31 +0100 Subject: [PATCH 144/182] namespace fixes and re-rendering namespace --- NAMESPACE | 19 ++++++++++++++++++- R/DeeDee-pkg.R | 26 ++++++++++++++++---------- 2 files changed, 34 insertions(+), 11 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 0164267..e2d9040 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -25,7 +25,6 @@ exportMethods(get_dea_df) exportMethods(get_dea_list) exportMethods(remove_dea) exportMethods(show) -import(methods) importClassesFrom(SummarizedExperiment,RangedSummarizedExperiment) importFrom(AnnotationDbi,keytypes) importFrom(ComplexHeatmap,Heatmap) @@ -34,6 +33,7 @@ importFrom(ComplexUpset,intersection_size) importFrom(ComplexUpset,upset) importFrom(DESeq2,DESeq) importFrom(DESeq2,results) +importFrom(InteractiveComplexHeatmap,InteractiveComplexHeatmapOutput) importFrom(InteractiveComplexHeatmap,makeInteractiveComplexHeatmap) importFrom(S4Vectors,"metadata<-") importFrom(S4Vectors,DataFrame) @@ -67,6 +67,7 @@ importFrom(ggplot2,coord_cartesian) importFrom(ggplot2,geom_line) importFrom(ggplot2,geom_point) importFrom(ggplot2,ggplot) +importFrom(ggplot2,ggplot_build) importFrom(ggplot2,labs) importFrom(ggplot2,scale_fill_manual) importFrom(ggplot2,theme_light) @@ -74,9 +75,17 @@ importFrom(ggplot2,xlab) importFrom(ggplot2,ylab) importFrom(ggvenn,ggvenn) importFrom(limma,topTable) +importFrom(methods,as) +importFrom(methods,callNextMethod) +importFrom(methods,is) +importFrom(methods,new) +importFrom(methods,show) +importFrom(methods,validObject) importFrom(readxl,excel_sheets) importFrom(readxl,read_excel) importFrom(rlang,.data) +importFrom(rmarkdown,render) +importFrom(rvest,html_node) importFrom(shiny,HTML) importFrom(shiny,actionButton) importFrom(shiny,addResourcePath) @@ -89,8 +98,11 @@ importFrom(shiny,conditionalPanel) importFrom(shiny,downloadButton) importFrom(shiny,downloadHandler) importFrom(shiny,fileInput) +importFrom(shiny,fluidPage) importFrom(shiny,fluidRow) +importFrom(shiny,includeHTML) importFrom(shiny,includeMarkdown) +importFrom(shiny,isTruthy) importFrom(shiny,navbarPage) importFrom(shiny,need) importFrom(shiny,numericInput) @@ -98,6 +110,7 @@ importFrom(shiny,observeEvent) importFrom(shiny,plotOutput) importFrom(shiny,reactive) importFrom(shiny,reactiveValues) +importFrom(shiny,removeNotification) importFrom(shiny,renderPlot) importFrom(shiny,renderPrint) importFrom(shiny,renderTable) @@ -119,15 +132,19 @@ importFrom(shinyBS,bsCollapse) importFrom(shinyBS,bsCollapsePanel) importFrom(shinyBS,bsModal) importFrom(shinycssloaders,withSpinner) +importFrom(shinydashboard,tabBox) importFrom(shinythemes,shinytheme) importFrom(stats,approx) importFrom(stats,complete.cases) importFrom(tibble,column_to_rownames) importFrom(tibble,rownames_to_column) importFrom(tools,file_ext) +importFrom(utils,browseURL) importFrom(utils,data) importFrom(utils,packageVersion) importFrom(utils,read.table) importFrom(viridis,scale_color_viridis) importFrom(viridis,viridis) importFrom(writexl,write_xlsx) +importFrom(xml2,read_html) +importFrom(xml2,write_html) diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index d1944fb..69d45e4 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -19,32 +19,38 @@ #' @importFrom edgeR topTags #' @importFrom enrichplot emapplot pairwise_termsim #' @importFrom ggplot2 aes annotate coord_cartesian geom_line geom_point ggplot labs -#' scale_fill_manual theme_light xlab ylab +#' scale_fill_manual theme_light xlab ylab ggplot_build #' @importFrom ggvenn ggvenn #' @importFrom InteractiveComplexHeatmap makeInteractiveComplexHeatmap +#' InteractiveComplexHeatmapOutput #' @importFrom limma topTable #' @importFrom writexl write_xlsx #' @importFrom readxl excel_sheets read_excel +#' @importFrom rlang .data +#' @importFrom rmarkdown render +#' @importFrom rvest html_node #' @importFrom shiny actionButton brushedPoints brushOpts checkboxGroupInput -#' checkboxInput column conditionalPanel downloadButton downloadHandler -#' fileInput fluidRow HTML includeMarkdown navbarPage need numericInput -#' observeEvent plotOutput reactive reactiveValues renderPlot renderPrint renderTable -#' renderText renderUI req selectInput showNotification shinyApp tableOutput tabPanel -#' tagList tags textOutput uiOutput validate verbatimTextOutput +#' checkboxInput column conditionalPanel downloadButton downloadHandler fileInput +#' fluidPage fluidRow HTML includeHTML includeMarkdown isTruthy navbarPage need +#' numericInput observeEvent plotOutput reactive reactiveValues removeNotification +#' renderPlot renderPrint renderTable renderText renderUI req selectInput +#' shinyApp showNotification tableOutput tabPanel tagList tags textOutput +#' uiOutput validate verbatimTextOutput +#' @importFrom shinydashboard tabBox #' @importFrom shinyBS bsCollapse bsCollapsePanel bsModal #' @importFrom shinycssloaders withSpinner #' @importFrom shinythemes shinytheme #' @importFrom stats approx complete.cases #' @importClassesFrom SummarizedExperiment RangedSummarizedExperiment +#' @importFrom S4Vectors metadata metadata<- DataFrame SimpleList #' @importFrom SummarizedExperiment rowData rowData<- mcols #' rowData rowData<- SummarizedExperiment #' @importFrom tibble column_to_rownames rownames_to_column #' @importFrom tools file_ext -#' @importFrom utils read.table data packageVersion +#' @importFrom utils read.table data packageVersion browseURL #' @importFrom viridis scale_color_viridis viridis -#' @importFrom S4Vectors metadata metadata<- DataFrame SimpleList -#' @importFrom rlang .data -#' @import methods +#' @importFrom xml2 read_html write_html +#' @importFrom methods show as callNextMethod is new validObject #' #' @name DeeDee-pkg #' @docType package From 839fcfaee1f080f1c3b3c92258ed30226152f9cb Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 10 Jan 2023 12:34:38 +0100 Subject: [PATCH 145/182] doc doc doc'ing --- R/DeeDeeExperiment.R | 45 ++++++++++++++++++++++++++++++++++------- man/DeeDeeExperiment.Rd | 34 +++++++++++++++++++++++++++---- 2 files changed, 68 insertions(+), 11 deletions(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 887708b..645ae27 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -1,17 +1,45 @@ - -#' se: one SE object -#' de_results: a list of DE results, whatever format these are +#' @name DeeDeeExperiment +#' +#' @title The DeeDeeExperiment class +#' +#' @aliases +#' DeeDeeExperiment +#' DeeDeeExperiment-class +#' +#' @description +#' The `DeeDeeExperiment` class is designed to represent +#' It inherits from the SummarizedExperiment class, and additionally stores +#' DE-related information via dedicated slots and `colData`. +#' +#' @param se A `SummarizedExperiment` object, that will be used as a scaffold to +#' store the DE related information. +#' @param de_results A named list of DE results, in any of the formats supported by +#' the `DeeDee` package (currently: results from DESeq2, edgeR, limma). #' will be handled by other function to split/convert/make uniform #' has to have some names, otherwise will override with some defaults - ideally preferring names #' -#' dde <- DeeDeeExperiment(se_macrophage, de_results = del) +#' @details +#' The `se` parameter can be optionally left unspecified. If this is the case, +#' the resulting `DeeDeeExperiment` object will contain as features the ones +#' specified by the provided components of the object supplied via the +#' `de_results` parameter. #' -#' @param se SumExp -#' @param de_results ssss +#' The conversion of the components of the `de_results` list will be handled via +#' conversion functions to uniform the names and set of information which will +#' be stored in the returned `DeeDeeExperiment` object. +#' The names of the list will be used to define the `contrasts` for the different +#' DE analyses included, which will determine the way to access the information +#' stored in the `dea` slot of the `DeeDeeExperiment` object #' -#' @return tODO +#' Since a `DeeDeeExperiment` is also a `SummarizedExperiment` object, it can be +#' seamlessly provided downstream for visualization and in-depth exploration to +#' packages such as `iSEE` or similar. +#' +#' @return A `DeeDeeExperiment` object. #' @export #' +#' @author Lea Rothörl and Federico Marini +#' #' @examples #' data("de_named_list", package = "DeeDee") #' @@ -179,6 +207,9 @@ DeeDeeExperiment <- function(se = NULL, .importDE_DESeq2 <- function(se, res_de, de_name) { # checks TODO: # correct object format + stopifnot( + is(res_de, "DGEExact") | is(res_de, "DGELRT") + ) # contain the right columns # contain the feature ids # p value respect the 0-1 interval diff --git a/man/DeeDeeExperiment.Rd b/man/DeeDeeExperiment.Rd index 73f7c7c..8c67167 100644 --- a/man/DeeDeeExperiment.Rd +++ b/man/DeeDeeExperiment.Rd @@ -9,15 +9,38 @@ DeeDeeExperiment(se = NULL, de_results = NULL) } \arguments{ -\item{se}{SumExp} +\item{se}{A \code{SummarizedExperiment} object, that will be used as a scaffold to +store the DE related information.} -\item{de_results}{ssss} +\item{de_results}{A named list of DE results, in any of the formats supported by +the \code{DeeDee} package (currently: results from DESeq2, edgeR, limma). +will be handled by other function to split/convert/make uniform +has to have some names, otherwise will override with some defaults - ideally preferring names} } \value{ -tODO +A \code{DeeDeeExperiment} object. } \description{ -dde <- DeeDeeExperiment(se_macrophage, de_results = del) +The \code{DeeDeeExperiment} class is designed to represent +It inherits from the SummarizedExperiment class, and additionally stores +DE-related information via dedicated slots and \code{colData}. +} +\details{ +The \code{se} parameter can be optionally left unspecified. If this is the case, +the resulting \code{DeeDeeExperiment} object will contain as features the ones +specified by the provided components of the object supplied via the +\code{de_results} parameter. + +The conversion of the components of the \code{de_results} list will be handled via +conversion functions to uniform the names and set of information which will +be stored in the returned \code{DeeDeeExperiment} object. +The names of the list will be used to define the \code{contrasts} for the different +DE analyses included, which will determine the way to access the information +stored in the \code{dea} slot of the \code{DeeDeeExperiment} object + +Since a \code{DeeDeeExperiment} is also a \code{SummarizedExperiment} object, it can be +seamlessly provided downstream for visualization and in-depth exploration to +packages such as \code{iSEE} or similar. } \section{Slots}{ @@ -48,3 +71,6 @@ dde <- DeeDeeExperiment( de_results = del ) } +\author{ +Lea Rothörl and Federico Marini +} From 71b6bd10ebb815b2377d54233a011699f4c69cca Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 15:19:11 +0100 Subject: [PATCH 146/182] adding import of na-omit --- NAMESPACE | 1 + R/DeeDee-pkg.R | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/NAMESPACE b/NAMESPACE index e2d9040..8b6b446 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -136,6 +136,7 @@ importFrom(shinydashboard,tabBox) importFrom(shinythemes,shinytheme) importFrom(stats,approx) importFrom(stats,complete.cases) +importFrom(stats,na.omit) importFrom(tibble,column_to_rownames) importFrom(tibble,rownames_to_column) importFrom(tools,file_ext) diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index 69d45e4..6be01e7 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -40,7 +40,7 @@ #' @importFrom shinyBS bsCollapse bsCollapsePanel bsModal #' @importFrom shinycssloaders withSpinner #' @importFrom shinythemes shinytheme -#' @importFrom stats approx complete.cases +#' @importFrom stats approx complete.cases na.omit #' @importClassesFrom SummarizedExperiment RangedSummarizedExperiment #' @importFrom S4Vectors metadata metadata<- DataFrame SimpleList #' @importFrom SummarizedExperiment rowData rowData<- mcols From 6074beb9c7738f4b7ee88290c7daac174a12c9f4 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 15:22:29 +0100 Subject: [PATCH 147/182] documenting more the class itself --- R/AllClasses.R | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/R/AllClasses.R b/R/AllClasses.R index 735a55c..4598b82 100644 --- a/R/AllClasses.R +++ b/R/AllClasses.R @@ -4,7 +4,9 @@ #' #' @exportClass DeeDeeExperiment #' -#' @slot dea todo +#' @slot dea This slot is designed to hold the DE-related information. This is +#' internally being created upon importing from the list of DE results objects, +#' provided when instantiating the [DeeDeeExperiment]. #' setClass("DeeDeeExperiment", contains = "RangedSummarizedExperiment", @@ -12,5 +14,3 @@ setClass("DeeDeeExperiment", dea = "list" ) ) - -# TODOs in general: provide some corollary info as messages for most functions? From 0f6247ab4738516703ef42083fde6c21f51abb8d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 15:22:46 +0100 Subject: [PATCH 148/182] documenting the methods --- R/AllGenerics.R | 2 +- R/DeeDeeExperiment-methods.R | 33 ++++++++++++++++++++++++--------- 2 files changed, 25 insertions(+), 10 deletions(-) diff --git a/R/AllGenerics.R b/R/AllGenerics.R index d80b633..2473874 100644 --- a/R/AllGenerics.R +++ b/R/AllGenerics.R @@ -1,4 +1,4 @@ -# (re)definition of one of the methods/functions +# DeeDeeExperiment methods ----------------------------------------------------- #' @export setGeneric("dea", function(x, ...) standardGeneric("dea")) diff --git a/R/DeeDeeExperiment-methods.R b/R/DeeDeeExperiment-methods.R index be0a93a..0d3d085 100644 --- a/R/DeeDeeExperiment-methods.R +++ b/R/DeeDeeExperiment-methods.R @@ -1,6 +1,6 @@ #' @name DeeDeeExperiment-methods #' -#' @title Methods for DeeDeeExperiment objects +#' @title Methods for [DeeDeeExperiment] objects #' #' @aliases #' dea @@ -11,14 +11,30 @@ #' get_dea_list #' #' @description -#' Todo +#' The [DeeDeeExperiment()] class provides a family of methods to get +#' and set DE-related information in [DeeDeeExperiment] objects. #' -#' @param x A \code{\link{DeeDeeExperiment}} object +#' @param x A [DeeDeeExperiment()] object #' @param value Replacement value for replacement methods. -#' @param dea todo -#' @param dea_name todo +#' @param dea A named list of DE results, in any of the formats supported by +#' the `DeeDee` package (currently: results from DESeq2, edgeR, limma). +#' @param dea_name Character value, specifying the name of the DE analysis to +#' get or remove #' -#' @return Return value varies depending on method, as described below. +#' @return Return value varies depending on the individual methods, as described +#' below. +#' +#' @details +#' * `dea` and `dea<-` are the methods to get and set the `dea` information as a +#' whole. These methods return `DeeDeeExperiment` objects. +#' * `add_dea` and `remove_dea` are used to respectively add or remove DE-results +#' items. These methods also return `DeeDeeExperiment` objects, with updated +#' content in the `dea` slot. +#' * `get_dea_df` and `get_dea_list` retrieve the `dea` information and provide +#' this as a `DataFrame` object (for a specific analysis) or as a list, with one +#' element for each reported analysis. +#' * `show` is the method to nicely print out the information of a `DeeDeeExperiment` +#' object. #' #' @examples #' data("de_named_list", package = "DeeDee") @@ -120,12 +136,11 @@ setMethod("add_dea", ) } } + # update the deslot - ## TODO should be a replacement operator? dea(x) <- dea_contrasts - # here check some validity? - # TODO + # check here the validity validObject(x) # return the object From 4e857accfb8135b94d79cba57194faa8555a185e Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 15:23:05 +0100 Subject: [PATCH 149/182] documenting creator and importing functions --- R/DeeDeeExperiment.R | 67 ++++++++++++++++++++++++++++++++++++-------- 1 file changed, 56 insertions(+), 11 deletions(-) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 645ae27..0eb1411 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -15,8 +15,6 @@ #' store the DE related information. #' @param de_results A named list of DE results, in any of the formats supported by #' the `DeeDee` package (currently: results from DESeq2, edgeR, limma). -#' will be handled by other function to split/convert/make uniform -#' has to have some names, otherwise will override with some defaults - ideally preferring names #' #' @details #' The `se` parameter can be optionally left unspecified. If this is the case, @@ -204,15 +202,38 @@ DeeDeeExperiment <- function(se = NULL, # extends the rowData slot of the provided SE and returns also metadata + +#' Import from `DESeq2` DE results +#' +#' @param se A `SummarizedExperiment` object +#' @param res_de A set of DE results, provided as `DESeqResults` as in the `DESeq2` +#' framework +#' @param de_name A character value, describing the contrast of interest. Will be +#' used to compose the column names in the `rowData` slot. +#' +#' @return A list, containing the updated `SummarizedExperiment` object, and the +#' standardized information on the DE analysis, as these are to be used in the +#' `DeeDee` framework. +#' +#' @examples +#' # TODO example .importDE_DESeq2 <- function(se, res_de, de_name) { # checks TODO: # correct object format stopifnot( - is(res_de, "DGEExact") | is(res_de, "DGELRT") + is(res_de, "DESeqResults") ) # contain the right columns + stopifnot( + all(c("log2FoldChange", "pvalue", "padj") %in% colnames(res_de)) + ) + # contain the feature ids - # p value respect the 0-1 interval + + # p value different from NA respect the 0-1 interval + stopifnot( + all(na.omit(res_de$pvalue <= 1)) & all(na.omit(res_de$pvalue > 0)) + ) matched_ids <- match(rownames(res_de), rownames(se)) @@ -245,7 +266,20 @@ DeeDeeExperiment <- function(se = NULL, } -# as an example, use the converted DEformats +#' Import from edgeR DE results +#' +#' @param se A SummarizedExperiment object +#' @param res_de A set of DE results, provided by the `edgeR` framework (either a +#' `DGEExact` or a `DGELRT` object). +#' @param de_name A character value, describing the contrast of interest. Will be +#' used to compose the column names in the rowData slot. +#' +#' @return A list, containing the updated SummarizedExperiment object, and the +#' standardized information on the DE analysis, as these are to be used in the +#' DeeDee framework. +#' +#' @examples +#' # TODO example .importDE_edgeR <- function(se, res_de, de_name) { # checks object stopifnot( @@ -283,15 +317,26 @@ DeeDeeExperiment <- function(se = NULL, dea_contrast = dea_contrast ) ) - - - # returns info (in the standardized manner) - } -# ... limma_de <- lmFit -# will provide the outout of lmFit - see its examples + +#' Import from `limma` DE results +#' +#' @param se A `SummarizedExperiment` object +#' @param res_de A set of DE results, provided in the `limma` framework (a `MArrayLM` +#' object). +#' @param de_name A character value, describing the contrast of interest. Will be +#' used to compose the column names in the `rowData` slot. +#' +#' @return A list, containing the updated `SummarizedExperiment` object, and the +#' standardized information on the DE analysis, as these are to be used in the +#' `DeeDee` framework. +#' +#' @examples +#' # TODO example +#' # ... limma_de <- lmFit +#' # will provide the outout of lmFit - see its examples .importDE_limma <- function(se, res_de, de_name) { # checks object stopifnot(is(res_de, "MArrayLM")) From 9ac6215788d7fe1806cd76d7343e2797e86181b2 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 15:23:57 +0100 Subject: [PATCH 150/182] fixing placement of the annotation label in deedee_cat --- R/DeeDee_cat.R | 15 ++++----------- 1 file changed, 4 insertions(+), 11 deletions(-) diff --git a/R/DeeDee_cat.R b/R/DeeDee_cat.R index e2c1b8f..948d09a 100644 --- a/R/DeeDee_cat.R +++ b/R/DeeDee_cat.R @@ -96,8 +96,10 @@ deedee_cat <- function(dde, names(output) <- nm + out_aggr <- dplyr::bind_rows(output, .id = "contrast") + res <- ggplot2::ggplot( - dplyr::bind_rows(output, .id = "contrast"), + out_aggr, ggplot2::aes(.data$rank, .data$concordance, colour = .data$contrast) ) + ggplot2::geom_line() + @@ -112,17 +114,8 @@ deedee_cat <- function(dde, sep = "" ), x = maxrank * 0.8, - y = max(output[[i]][["concordance"]]) * 1.1 + y = max(out_aggr[["concordance"]]) * 1.1 ) return(res) } - -# deedee_cat(dde, -# ref = 1, -# maxrank = 1000, -# mode = "up", -# pthresh = 0.05) - - - From 7c3d9e8015156e4f7c80eb8c67ec15ddad368af5 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 15:24:07 +0100 Subject: [PATCH 151/182] finishing up docs of deedee_cat --- R/DeeDee_cat.R | 44 ++++++++++++++++++++++++++++---------------- 1 file changed, 28 insertions(+), 16 deletions(-) diff --git a/R/DeeDee_cat.R b/R/DeeDee_cat.R index 948d09a..6b9cffc 100644 --- a/R/DeeDee_cat.R +++ b/R/DeeDee_cat.R @@ -1,12 +1,18 @@ -#' Title +#' deedee_cat #' -#' @param dde todo -#' @param ref todo -#' @param maxrank todo -#' @param mode todo -#' @param pthresh todo +#' CAT plot - Concordance At the Top #' -#' @return todo +#' @param dde A [DeeDeeExperiment] object. +#' @param ref A numeric value, corresponding to the order of the element in the +#' `dde` object to be used as a reference. +#' @param maxrank A numeric value. Indicates the maximum ranked feature to +#' include when computing the Concordance At the Top. Defaults to 1000. +#' @param mode A character value, could be one of "up", "down", or "both". Defines +#' which features to include in the computations. Defaults to "up". +#' @param pthresh Numeric value, corresponding to the p-value to use as a +#' threshold to subset the features to include. Defaults sensibly to 0.05. +#' +#' @return A `ggplot` plot object. #' @export #' #' @examples @@ -27,21 +33,27 @@ #' dde #' #' deedee_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) +#' deedee_cat <- function(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) { - # checkmate::assert_list(data, type = "data.frame", min.len = 2) - # for (i in 1:length(data)) { - # checkmate::assert_data_frame(data[[i]], type = "numeric") - # } - # checkmate::assert_number(ref, lower = 1, upper = length(data)) - # checkmate::assert_number(pthresh, lower = 0, upper = 1) - # checkmate::assert_number(maxrank, lower = 1) - # choices <- c("up", "down", "both") - # checkmate::assert_choice(mode, choices) + if (length(dea(dde)) < 2) + stop("Please provide a dde object including at least two DE analyses") + + if (!is.numeric(ref) | !(ref > 0 & ref <= length(dea(dde)))) + stop("Please specify a valid entry to use as reference") + + if (!is.numeric(maxrank) | !(maxrank > 1)) + stop("Please specify a positive integer (larger than 1) for the maximum rank") + + if (!is.numeric(pthresh) | !(pthresh > 0 & pthresh <= 1)) + stop("Please specify a valid p-value threshold") + + mode <- match.arg(mode, c("up", "down", "both")) + dea_list <- get_dea_list(dde) From 117e164aeb04f06e1e9105eb5e1538165f58e4fc Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 15:24:19 +0100 Subject: [PATCH 152/182] checks and docs for deedee_heatmap --- R/DeeDee_heatmap.R | 57 +++++++++++++++++++++++++++------------------- 1 file changed, 33 insertions(+), 24 deletions(-) diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R index b620564..8d2f395 100644 --- a/R/DeeDee_heatmap.R +++ b/R/DeeDee_heatmap.R @@ -1,17 +1,24 @@ - - - -#' Title +#' deedee_heatmap +#' +#' Construct a logFC heatmap on a subset of features #' -#' @param dde todo -#' @param show_first todo -#' @param show_gene_names todo -#' @param dist todo -#' @param clust todo -#' @param show_na todo -#' @param pthresh todo +#' @param dde A [DeeDeeExperiment] object. +#' @param show_first Numeric value, specifying the number of features to include. +#' The ranking is done according to ... TODO +#' @param show_gene_names Logical value, whether to display the gene names on the +#' heatmap's side. +#' @param dist Character value, specifying the distance type to use in the call +#' to `ComplexHeatmap`. Accordingly, it can be a pre-defined character +#' ("euclidean", "maximum", "manhattan", "canberra", "binary", "minkowski", +#' "pearson", "spearman", "kendall"). +#' @param clust Character value. Defines the method to perform hierarchical +#' clustering, passed to hclust, as used in `ComplexHeatmap`. +#' @param show_na Logical value, whether to include features that have NA value +#' for the log fold change. +#' @param pthresh Numeric value, corresponding to the p-value to use as a +#' threshold to subset the features to include. #' -#' @return todo +#' @return A plot object generated via the `ComplexHeatmap` package. #' @export #' #' @examples @@ -44,19 +51,21 @@ deedee_heatmap <- function(dde, clust = "average", show_na = FALSE, pthresh = 0.05) { + if (length(dea(dde)) < 2) + stop("Please provide a dde object including at least two DE analyses") + + if (!is.numeric(show_first) | !(show_first > 0)) + stop("Please specify a positive integer for the show_first parameter") + + if (!is.numeric(pthresh) | !(pthresh > 0 & pthresh <= 1)) + stop("Please specify a valid p-value threshold") + + stopifnot(is.logical(show_gene_names)) + stopifnot(is.logical(show_na)) + + stopifnot(is.character(dist)) + stopifnot(is.character(clust)) - # checkmate::assert_list(data, type = "data.frame", min.len = 2) - # for (i in 1:length(data)) { - # checkmate::assert_data_frame(data[[i]], type = "numeric") - # } - # checkmate::assert_number(pthresh, lower = 0, upper = 1) - # checkmate::assert_number(show_first, lower = 1) - # checkmate::assert_logical(show_gene_names) - # choices1 <- c("euclidean", "manhattan", "pearson", "spearman") - # checkmate::assert_choice(dist, choices1) - # choices2 <- c("single", "complete", "average", "centroid") - # checkmate::assert_choice(clust, choices2) - # checkmate::assert_logical(show_na) dea_list <- get_dea_list(dde) # and then proceed as for the old implementation From 51ba9d41d8c2d50e591a1dd50cc5c464f24dd0ee Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 15:24:33 +0100 Subject: [PATCH 153/182] checks and docs for qq/qqmult --- R/DeeDee_qq.R | 34 +++++++++++++++++++++------------- R/DeeDee_qqmult.R | 28 +++++++++++++++++----------- 2 files changed, 38 insertions(+), 24 deletions(-) diff --git a/R/DeeDee_qq.R b/R/DeeDee_qq.R index 29fa72a..1d8e609 100644 --- a/R/DeeDee_qq.R +++ b/R/DeeDee_qq.R @@ -1,13 +1,16 @@ -#' Title +#' deedee_qq #' -#' @param dde todo +#' Q-Q plot for comparing DE analyses +#' +#' @param dde A [DeeDeeExperiment] object. #' @param select1 todo #' @param select2 todo #' @param color_by todo #' @param as_line todo -#' @param pthresh todo +#' @param pthresh Numeric value, corresponding to the p-value to use as a +#' threshold to subset the features to include. #' -#' @return todo +#' @return A `ggplot` plot object. #' @export #' #' @examples @@ -36,15 +39,20 @@ deedee_qq <- function(dde, as_line = FALSE, pthresh = 0.05) { - # checkmate::assert_list(data, type = "data.frame", min.len = 2) - # for (i in 1:length(data)) { - # checkmate::assert_data_frame(data[[i]], type = "numeric") - # } - # checkmate::assert_number(pthresh, lower = 0, upper = 1) - # checkmate::assert_number(select1, lower = 1, upper = length(data)) - # checkmate::assert_number(select2, lower = 1, upper = length(data)) - # choices <- c("pval1", "pval2") - # checkmate::assert_choice(color_by, choices) + if (length(dea(dde)) < 2) + stop("Please provide a dde object including at least two DE analyses") + + if (!is.numeric(select1) | !(select1 > 0 & select1 <= length(dea(dde)))) + stop("Please specify a valid entry to use as 1st selection") + if (!is.numeric(select2) | !(select2 > 0 & select2 <= length(dea(dde)))) + stop("Please specify a valid entry to use as 2nd selection") + + if (!is.numeric(pthresh) | !(pthresh > 0 & pthresh <= 1)) + stop("Please specify a valid p-value threshold") + + stopifnot(is.logical(as_line)) + + color_by <- match.arg(color_by, c("pval1", "pval2")) dea_list <- get_dea_list(dde) diff --git a/R/DeeDee_qqmult.R b/R/DeeDee_qqmult.R index ed39024..909947b 100644 --- a/R/DeeDee_qqmult.R +++ b/R/DeeDee_qqmult.R @@ -1,10 +1,14 @@ -#' Title +#' deedee_qqmult #' -#' @param dde todo -#' @param ref todo -#' @param pthresh todo +#' Q-Q plot for multiple comparisons of DE analyses #' -#' @return todo +#' @param dde A [DeeDeeExperiment] object. +#' @param ref A numeric value, corresponding to the order of the element in the +#' `dde` object to be used as a reference. +#' @param pthresh Numeric value, corresponding to the p-value to use as a +#' threshold to subset the features to include. +#' +#' @return A `ggplot` plot object. #' @export #' #' @examples @@ -29,13 +33,15 @@ deedee_qqmult <- function(dde, ref = 1, pthresh = 0.05) { + if (length(dea(dde)) < 2) + stop("Please provide a dde object including at least two DE analyses") + + if (!is.numeric(ref) | !(ref > 0 & ref <= length(dea(dde)))) + stop("Please specify a valid entry to use as reference") + + if (!is.numeric(pthresh) | !(pthresh > 0 & pthresh <= 1)) + stop("Please specify a valid p-value threshold") - # checkmate::assert_list(data, type = "data.frame", min.len = 2) - # for (i in 1:length(data)) { - # checkmate::assert_data_frame(data[[i]], type = "numeric") - # } - # checkmate::assert_number(pthresh, lower = 0, upper = 1) - # checkmate::assert_number(ref, lower = 1, upper = length(data)) dea_list <- get_dea_list(dde) From 6cfc9693a91e0080b18767460b65ccaa3d540452 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 15:24:47 +0100 Subject: [PATCH 154/182] checks and documentation for deedee_scatter --- R/DeeDee_scatter.R | 34 +++++++++++++++++++++------------- 1 file changed, 21 insertions(+), 13 deletions(-) diff --git a/R/DeeDee_scatter.R b/R/DeeDee_scatter.R index 6700322..e9aefd5 100644 --- a/R/DeeDee_scatter.R +++ b/R/DeeDee_scatter.R @@ -1,12 +1,15 @@ -#' Title +#' deedee_scatter #' -#' @param dde todo +#' Scatter plot for the log fold change in the different DE analyses +#' +#' @param dde A [DeeDeeExperiment] object. #' @param select1 todo #' @param select2 todo #' @param color_by todo -#' @param pthresh todo +#' @param pthresh Numeric value, corresponding to the p-value to use as a +#' threshold to subset the features to include. #' -#' @return todo +#' @return A `ggplot` plot object. #' @export #' #' @examples @@ -30,21 +33,26 @@ #' deedee_scatter(dde, 1, 2) #' deedee_scatter(dde, 1, 4) #' deedee_scatter(dde, 3, 2) +#' deedee_scatter <- function(dde, select1 = 1, select2 = 2, color_by = "pval1", pthresh = 0.05) { - # checkmate::assert_list(data, type = "data.frame", min.len = 2) - # for (i in 1:length(data)) { - # checkmate::assert_data_frame(data[[i]], type = "numeric") - # } - # checkmate::assert_number(pthresh, lower = 0, upper = 1) - # checkmate::assert_number(select1, lower = 1, upper = length(data)) - # checkmate::assert_number(select2, lower = 1, upper = length(data)) - # choices <- c("pval1", "pval2") - # checkmate::assert_choice(color_by, choices) + if (length(dea(dde)) < 2) + stop("Please provide a dde object including at least two DE analyses") + + if (!is.numeric(select1) | !(select1 > 0 & select1 <= length(dea(dde)))) + stop("Please specify a valid entry to use as 1st selection") + if (!is.numeric(select2) | !(select2 > 0 & select2 <= length(dea(dde)))) + stop("Please specify a valid entry to use as 2nd selection") + + if (!is.numeric(pthresh) | !(pthresh > 0 & pthresh <= 1)) + stop("Please specify a valid p-value threshold") + + color_by <- match.arg(color_by, c("pval1", "pval2")) + dea_names <- names(dea(dde)) names1 <- dea_names[select1] From b4b86040e905f2aaee84b92b9b8143e1290001f9 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 15:25:06 +0100 Subject: [PATCH 155/182] upset and venn - checks and documentation extension --- R/DeeDee_upset.R | 31 +++++++++++++++++++------------ R/DeeDee_venn.R | 29 +++++++++++++++++------------ 2 files changed, 36 insertions(+), 24 deletions(-) diff --git a/R/DeeDee_upset.R b/R/DeeDee_upset.R index 5dc4e2f..9ec9da0 100644 --- a/R/DeeDee_upset.R +++ b/R/DeeDee_upset.R @@ -1,11 +1,14 @@ -#' Title +#' deedee_upset #' -#' @param dde todo +#' Upset plot on the sets of DE features for the different analyses included +#' +#' @param dde A [DeeDeeExperiment] object. #' @param mode todo #' @param min_setsize todo -#' @param pthresh todo +#' @param pthresh Numeric value, corresponding to the p-value to use as a +#' threshold to subset the features to include. #' -#' @return todo +#' @return A plot object, drawn with the `ComplexUpset` package. #' @export #' #' @examples @@ -24,20 +27,24 @@ #' de_results = del #' ) #' dde +#' #' deedee_upset(dde, pthresh = 0.05, mode = "both_colored", min_setsize = 10) +#' deedee_upset <- function(dde, mode = "both_colored", min_setsize = 10, pthresh = 0.05) { - # checkmate::assert_list(data, type = "data.frame", min.len = 2) - # for (i in 1:length(data)) { - # checkmate::assert_data_frame(data[[i]], type = "numeric") - # } - # checkmate::assert_number(pthresh, lower = 0, upper = 1) - # choices <- c("up", "down", "both", "both_colored") - # checkmate::assert_choice(mode, choices) - # checkmate::assert_number(min_setsize, lower = 0) + if (length(dea(dde)) < 2) + stop("Please provide a dde object including at least two DE analyses") + + if (!is.numeric(min_setsize) | !(min_setsize > 0)) + stop("Please specify a positive integer for the min_setsize parameter") + + if (!is.numeric(pthresh) | !(pthresh > 0 & pthresh <= 1)) + stop("Please specify a valid p-value threshold") + + mode <- match.arg(mode, c("up", "down", "both", "both_colored")) dea_list <- get_dea_list(dde) diff --git a/R/DeeDee_venn.R b/R/DeeDee_venn.R index 9e08a4c..35833a8 100644 --- a/R/DeeDee_venn.R +++ b/R/DeeDee_venn.R @@ -1,10 +1,14 @@ -#' Title +#' deedee_venn #' -#' @param dde todo -#' @param mode todo -#' @param pthresh todo +#' A Venn diagram on the DE features from different analyses #' -#' @return todo +#' @param dde A [DeeDeeExperiment] object. +#' @param mode Character value, one of "both", "up", or "down". Specifies which +#' set of features to focus on for the overlap calculations. +#' @param pthresh Numeric value, corresponding to the p-value to use as a +#' threshold to subset the features to include. +#' +#' @return A `ggplot` plot object. #' @export #' #' @examples @@ -26,17 +30,18 @@ #' #' library("dplyr") ## to have the inner_join, needed by ggvenn #' deedee_venn(dde, pthresh = 0.05, mode = "both") +#' deedee_venn <- function(dde, mode = "both", pthresh = 0.05) { - # checkmate::assert_list(data, type = "data.frame", min.len = 2) # , max.len = 4) - # for (i in 1:length(data)) { - # checkmate::assert_data_frame(data[[i]], type = "numeric") - # } - # checkmate::assert_number(pthresh, lower = 0, upper = 1) - # choices <- c("up", "down", "both") - # checkmate::assert_choice(mode, choices) + if (length(dea(dde)) < 2) + stop("Please provide a dde object including at least two DE analyses") + + if (!is.numeric(pthresh) | !(pthresh > 0 & pthresh <= 1)) + stop("Please specify a valid p-value threshold") + + mode <- match.arg(mode, c("up", "down", "both")) dea_list <- get_dea_list(dde) From 8d91785cf7be7b7c6d36b01f80730aa110a3f80c Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 15:25:26 +0100 Subject: [PATCH 156/182] re-rendering manpages --- man/DeeDeeExperiment-methods.Rd | 30 ++++++++++++++++++++++++------ man/DeeDeeExperiment.Rd | 10 +++++----- man/deedee_cat.Rd | 21 +++++++++++++-------- man/deedee_heatmap.Rd | 28 ++++++++++++++++++---------- man/deedee_qq.Rd | 11 ++++++----- man/deedee_qqmult.Rd | 14 ++++++++------ man/deedee_scatter.Rd | 12 +++++++----- 7 files changed, 81 insertions(+), 45 deletions(-) diff --git a/man/DeeDeeExperiment-methods.Rd b/man/DeeDeeExperiment-methods.Rd index b48f170..7388792 100644 --- a/man/DeeDeeExperiment-methods.Rd +++ b/man/DeeDeeExperiment-methods.Rd @@ -14,7 +14,7 @@ \alias{remove_dea,DeeDeeExperiment,character-method} \alias{get_dea_df,DeeDeeExperiment,character-method} \alias{get_dea_list,DeeDeeExperiment-method} -\title{Methods for DeeDeeExperiment objects} +\title{Methods for \link{DeeDeeExperiment} objects} \usage{ \S4method{dea}{DeeDeeExperiment}(x) @@ -29,19 +29,37 @@ \S4method{get_dea_list}{DeeDeeExperiment}(x) } \arguments{ -\item{x}{A \code{\link{DeeDeeExperiment}} object} +\item{x}{A \code{\link[=DeeDeeExperiment]{DeeDeeExperiment()}} object} \item{value}{Replacement value for replacement methods.} -\item{dea}{todo} +\item{dea}{A named list of DE results, in any of the formats supported by +the \code{DeeDee} package (currently: results from DESeq2, edgeR, limma).} -\item{dea_name}{todo} +\item{dea_name}{Character value, specifying the name of the DE analysis to +get or remove} } \value{ -Return value varies depending on method, as described below. +Return value varies depending on the individual methods, as described +below. } \description{ -Todo +The \code{\link[=DeeDeeExperiment]{DeeDeeExperiment()}} class provides a family of methods to get +and set DE-related information in \link{DeeDeeExperiment} objects. +} +\details{ +\itemize{ +\item \code{dea} and \verb{dea<-} are the methods to get and set the \code{dea} information as a +whole. These methods return \code{DeeDeeExperiment} objects. +\item \code{add_dea} and \code{remove_dea} are used to respectively add or remove DE-results +items. These methods also return \code{DeeDeeExperiment} objects, with updated +content in the \code{dea} slot. +\item \code{get_dea_df} and \code{get_dea_list} retrieve the \code{dea} information and provide +this as a \code{DataFrame} object (for a specific analysis) or as a list, with one +element for each reported analysis. +\item \code{show} is the method to nicely print out the information of a \code{DeeDeeExperiment} +object. +} } \examples{ data("de_named_list", package = "DeeDee") diff --git a/man/DeeDeeExperiment.Rd b/man/DeeDeeExperiment.Rd index 8c67167..555a1c3 100644 --- a/man/DeeDeeExperiment.Rd +++ b/man/DeeDeeExperiment.Rd @@ -4,7 +4,7 @@ \name{DeeDeeExperiment-class} \alias{DeeDeeExperiment-class} \alias{DeeDeeExperiment} -\title{DeeDeeExperiment} +\title{The DeeDeeExperiment class} \usage{ DeeDeeExperiment(se = NULL, de_results = NULL) } @@ -13,9 +13,7 @@ DeeDeeExperiment(se = NULL, de_results = NULL) store the DE related information.} \item{de_results}{A named list of DE results, in any of the formats supported by -the \code{DeeDee} package (currently: results from DESeq2, edgeR, limma). -will be handled by other function to split/convert/make uniform -has to have some names, otherwise will override with some defaults - ideally preferring names} +the \code{DeeDee} package (currently: results from DESeq2, edgeR, limma).} } \value{ A \code{DeeDeeExperiment} object. @@ -45,7 +43,9 @@ packages such as \code{iSEE} or similar. \section{Slots}{ \describe{ -\item{\code{dea}}{todo} +\item{\code{dea}}{This slot is designed to hold the DE-related information. This is +internally being created upon importing from the list of DE results objects, +provided when instantiating the \link{DeeDeeExperiment}.} }} \examples{ diff --git a/man/deedee_cat.Rd b/man/deedee_cat.Rd index 85fc35b..3b38194 100644 --- a/man/deedee_cat.Rd +++ b/man/deedee_cat.Rd @@ -2,26 +2,30 @@ % Please edit documentation in R/DeeDee_cat.R \name{deedee_cat} \alias{deedee_cat} -\title{Title} +\title{deedee_cat} \usage{ deedee_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) } \arguments{ -\item{dde}{todo} +\item{dde}{A \link{DeeDeeExperiment} object.} -\item{ref}{todo} +\item{ref}{A numeric value, corresponding to the order of the element in the +\code{dde} object to be used as a reference.} -\item{maxrank}{todo} +\item{maxrank}{A numeric value. Indicates the maximum ranked feature to +include when computing the Concordance At the Top. Defaults to 1000.} -\item{mode}{todo} +\item{mode}{A character value, could be one of "up", "down", or "both". Defines +which features to include in the computations. Defaults to "up".} -\item{pthresh}{todo} +\item{pthresh}{Numeric value, corresponding to the p-value to use as a +threshold to subset the features to include. Defaults sensibly to 0.05.} } \value{ -todo +A \code{ggplot} plot object. } \description{ -Title +CAT plot - Concordance At the Top } \examples{ data("de_named_list", package = "DeeDee") @@ -41,4 +45,5 @@ dde <- DeeDeeExperiment( dde deedee_cat(dde, ref = 1, maxrank = 1000, mode = "up", pthresh = 0.05) + } diff --git a/man/deedee_heatmap.Rd b/man/deedee_heatmap.Rd index 818cf3a..ef118b3 100644 --- a/man/deedee_heatmap.Rd +++ b/man/deedee_heatmap.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/DeeDee_heatmap.R \name{deedee_heatmap} \alias{deedee_heatmap} -\title{Title} +\title{deedee_heatmap} \usage{ deedee_heatmap( dde, @@ -15,25 +15,33 @@ deedee_heatmap( ) } \arguments{ -\item{dde}{todo} +\item{dde}{A \link{DeeDeeExperiment} object.} -\item{show_first}{todo} +\item{show_first}{Numeric value, specifying the number of features to include. +The ranking is done according to ... TODO} -\item{show_gene_names}{todo} +\item{show_gene_names}{Logical value, whether to display the gene names on the +heatmap's side.} -\item{dist}{todo} +\item{dist}{Character value, specifying the distance type to use in the call +to \code{ComplexHeatmap}. Accordingly, it can be a pre-defined character +("euclidean", "maximum", "manhattan", "canberra", "binary", "minkowski", +"pearson", "spearman", "kendall").} -\item{clust}{todo} +\item{clust}{Character value. Defines the method to perform hierarchical +clustering, passed to hclust, as used in \code{ComplexHeatmap}.} -\item{show_na}{todo} +\item{show_na}{Logical value, whether to include features that have NA value +for the log fold change.} -\item{pthresh}{todo} +\item{pthresh}{Numeric value, corresponding to the p-value to use as a +threshold to subset the features to include.} } \value{ -todo +A plot object generated via the \code{ComplexHeatmap} package. } \description{ -Title +Construct a logFC heatmap on a subset of features } \examples{ data("de_named_list", package = "DeeDee") diff --git a/man/deedee_qq.Rd b/man/deedee_qq.Rd index ebe4086..a767f6d 100644 --- a/man/deedee_qq.Rd +++ b/man/deedee_qq.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/DeeDee_qq.R \name{deedee_qq} \alias{deedee_qq} -\title{Title} +\title{deedee_qq} \usage{ deedee_qq( dde, @@ -14,7 +14,7 @@ deedee_qq( ) } \arguments{ -\item{dde}{todo} +\item{dde}{A \link{DeeDeeExperiment} object.} \item{select1}{todo} @@ -24,13 +24,14 @@ deedee_qq( \item{as_line}{todo} -\item{pthresh}{todo} +\item{pthresh}{Numeric value, corresponding to the p-value to use as a +threshold to subset the features to include.} } \value{ -todo +A \code{ggplot} plot object. } \description{ -Title +Q-Q plot for comparing DE analyses } \examples{ data("de_named_list", package = "DeeDee") diff --git a/man/deedee_qqmult.Rd b/man/deedee_qqmult.Rd index 918f46f..9463fc8 100644 --- a/man/deedee_qqmult.Rd +++ b/man/deedee_qqmult.Rd @@ -2,22 +2,24 @@ % Please edit documentation in R/DeeDee_qqmult.R \name{deedee_qqmult} \alias{deedee_qqmult} -\title{Title} +\title{deedee_qqmult} \usage{ deedee_qqmult(dde, ref = 1, pthresh = 0.05) } \arguments{ -\item{dde}{todo} +\item{dde}{A \link{DeeDeeExperiment} object.} -\item{ref}{todo} +\item{ref}{A numeric value, corresponding to the order of the element in the +\code{dde} object to be used as a reference.} -\item{pthresh}{todo} +\item{pthresh}{Numeric value, corresponding to the p-value to use as a +threshold to subset the features to include.} } \value{ -todo +A \code{ggplot} plot object. } \description{ -Title +Q-Q plot for multiple comparisons of DE analyses } \examples{ data("de_named_list", package = "DeeDee") diff --git a/man/deedee_scatter.Rd b/man/deedee_scatter.Rd index 1584ae9..a832bc2 100644 --- a/man/deedee_scatter.Rd +++ b/man/deedee_scatter.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/DeeDee_scatter.R \name{deedee_scatter} \alias{deedee_scatter} -\title{Title} +\title{deedee_scatter} \usage{ deedee_scatter( dde, @@ -13,7 +13,7 @@ deedee_scatter( ) } \arguments{ -\item{dde}{todo} +\item{dde}{A \link{DeeDeeExperiment} object.} \item{select1}{todo} @@ -21,13 +21,14 @@ deedee_scatter( \item{color_by}{todo} -\item{pthresh}{todo} +\item{pthresh}{Numeric value, corresponding to the p-value to use as a +threshold to subset the features to include.} } \value{ -todo +A \code{ggplot} plot object. } \description{ -Title +Scatter plot for the log fold change in the different DE analyses } \examples{ data("de_named_list", package = "DeeDee") @@ -50,4 +51,5 @@ deedee_scatter(dde, 1, 3, color_by = "pval2") deedee_scatter(dde, 1, 2) deedee_scatter(dde, 1, 4) deedee_scatter(dde, 3, 2) + } From be303506d129208e5d4c7146da480abbbc3eb5e4 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 16:11:36 +0100 Subject: [PATCH 157/182] extra manpages --- man/deedee_upset.Rd | 13 ++++++++----- man/deedee_venn.Rd | 15 +++++++++------ 2 files changed, 17 insertions(+), 11 deletions(-) diff --git a/man/deedee_upset.Rd b/man/deedee_upset.Rd index 9d8f5ae..3bf8753 100644 --- a/man/deedee_upset.Rd +++ b/man/deedee_upset.Rd @@ -2,24 +2,25 @@ % Please edit documentation in R/DeeDee_upset.R \name{deedee_upset} \alias{deedee_upset} -\title{Title} +\title{deedee_upset} \usage{ deedee_upset(dde, mode = "both_colored", min_setsize = 10, pthresh = 0.05) } \arguments{ -\item{dde}{todo} +\item{dde}{A \link{DeeDeeExperiment} object.} \item{mode}{todo} \item{min_setsize}{todo} -\item{pthresh}{todo} +\item{pthresh}{Numeric value, corresponding to the p-value to use as a +threshold to subset the features to include.} } \value{ -todo +A plot object, drawn with the \code{ComplexUpset} package. } \description{ -Title +Upset plot on the sets of DE features for the different analyses included } \examples{ data("de_named_list", package = "DeeDee") @@ -37,5 +38,7 @@ dde <- DeeDeeExperiment( de_results = del ) dde + deedee_upset(dde, pthresh = 0.05, mode = "both_colored", min_setsize = 10) + } diff --git a/man/deedee_venn.Rd b/man/deedee_venn.Rd index fb190d7..722dc80 100644 --- a/man/deedee_venn.Rd +++ b/man/deedee_venn.Rd @@ -2,22 +2,24 @@ % Please edit documentation in R/DeeDee_venn.R \name{deedee_venn} \alias{deedee_venn} -\title{Title} +\title{deedee_venn} \usage{ deedee_venn(dde, mode = "both", pthresh = 0.05) } \arguments{ -\item{dde}{todo} +\item{dde}{A \link{DeeDeeExperiment} object.} -\item{mode}{todo} +\item{mode}{Character value, one of "both", "up", or "down". Specifies which +set of features to focus on for the overlap calculations.} -\item{pthresh}{todo} +\item{pthresh}{Numeric value, corresponding to the p-value to use as a +threshold to subset the features to include.} } \value{ -todo +A \code{ggplot} plot object. } \description{ -Title +A Venn diagram on the DE features from different analyses } \examples{ data("de_named_list", package = "DeeDee") @@ -38,4 +40,5 @@ dde library("dplyr") ## to have the inner_join, needed by ggvenn deedee_venn(dde, pthresh = 0.05, mode = "both") + } From 1303ab9da08815081b9c7b25aeacd46cf63ffa41 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 11 Jan 2023 16:20:11 +0100 Subject: [PATCH 158/182] some cleanup --- R/AllClasses.R | 2 -- R/DeeDeeExperiment.R | 6 ++++++ 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/R/AllClasses.R b/R/AllClasses.R index 4598b82..c060b1e 100644 --- a/R/AllClasses.R +++ b/R/AllClasses.R @@ -1,5 +1,3 @@ -#' DeeDeeExperiment -#' #' @rdname DeeDeeExperiment #' #' @exportClass DeeDeeExperiment diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 0eb1411..6bdbd95 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -215,6 +215,8 @@ DeeDeeExperiment <- function(se = NULL, #' standardized information on the DE analysis, as these are to be used in the #' `DeeDee` framework. #' +#' @noRd +#' #' @examples #' # TODO example .importDE_DESeq2 <- function(se, res_de, de_name) { @@ -278,6 +280,8 @@ DeeDeeExperiment <- function(se = NULL, #' standardized information on the DE analysis, as these are to be used in the #' DeeDee framework. #' +#' @noRd +#' #' @examples #' # TODO example .importDE_edgeR <- function(se, res_de, de_name) { @@ -333,6 +337,8 @@ DeeDeeExperiment <- function(se = NULL, #' standardized information on the DE analysis, as these are to be used in the #' `DeeDee` framework. #' +#' @noRd +#' #' @examples #' # TODO example #' # ... limma_de <- lmFit From 13a4562861d67b4199d9235752b706dc93c18c1d Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 12 Jan 2023 13:32:37 +0100 Subject: [PATCH 159/182] further documenting qq, scatter and upset --- R/DeeDee_heatmap.R | 4 ++-- R/DeeDee_qq.R | 12 ++++++++---- R/DeeDee_scatter.R | 9 ++++++--- R/DeeDee_upset.R | 7 +++++-- 4 files changed, 21 insertions(+), 11 deletions(-) diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R index 8d2f395..91c1d3e 100644 --- a/R/DeeDee_heatmap.R +++ b/R/DeeDee_heatmap.R @@ -12,8 +12,8 @@ #' ("euclidean", "maximum", "manhattan", "canberra", "binary", "minkowski", #' "pearson", "spearman", "kendall"). #' @param clust Character value. Defines the method to perform hierarchical -#' clustering, passed to hclust, as used in `ComplexHeatmap`. -#' @param show_na Logical value, whether to include features that have NA value +#' clustering, passed to `hclust`, as used in `ComplexHeatmap`. +#' @param show_na Logical value, whether to include features that have `NA` value #' for the log fold change. #' @param pthresh Numeric value, corresponding to the p-value to use as a #' threshold to subset the features to include. diff --git a/R/DeeDee_qq.R b/R/DeeDee_qq.R index 1d8e609..c9755cc 100644 --- a/R/DeeDee_qq.R +++ b/R/DeeDee_qq.R @@ -3,10 +3,14 @@ #' Q-Q plot for comparing DE analyses #' #' @param dde A [DeeDeeExperiment] object. -#' @param select1 todo -#' @param select2 todo -#' @param color_by todo -#' @param as_line todo +#' @param select1 Numeric value, corresponding to the order of the element in the +#' `dde` object to be selected first. +#' @param select2 Numeric value, corresponding to the order of the element in the +#' `dde` object to be selected as second. +#' @param color_by Character value, either "pval1" or "pval2" to color the +#' individual points mapping them to the p-value of either DE result set. +#' @param as_line Logical value, whether to plot the Q-Q information as a line - +#' defaults to FALSE. #' @param pthresh Numeric value, corresponding to the p-value to use as a #' threshold to subset the features to include. #' diff --git a/R/DeeDee_scatter.R b/R/DeeDee_scatter.R index e9aefd5..3ac0471 100644 --- a/R/DeeDee_scatter.R +++ b/R/DeeDee_scatter.R @@ -3,9 +3,12 @@ #' Scatter plot for the log fold change in the different DE analyses #' #' @param dde A [DeeDeeExperiment] object. -#' @param select1 todo -#' @param select2 todo -#' @param color_by todo +#' @param select1 Numeric value, corresponding to the order of the element in the +#' `dde` object to be selected first. +#' @param select2 Numeric value, corresponding to the order of the element in the +#' `dde` object to be selected as second. +#' @param color_by Character value, either "pval1" or "pval2" to color the +#' individual points mapping them to the p-value of either DE result set. #' @param pthresh Numeric value, corresponding to the p-value to use as a #' threshold to subset the features to include. #' diff --git a/R/DeeDee_upset.R b/R/DeeDee_upset.R index 9ec9da0..56aba51 100644 --- a/R/DeeDee_upset.R +++ b/R/DeeDee_upset.R @@ -3,8 +3,11 @@ #' Upset plot on the sets of DE features for the different analyses included #' #' @param dde A [DeeDeeExperiment] object. -#' @param mode todo -#' @param min_setsize todo +#' @param mode Character value, specifies which subset of features to include +#' in the overlap computations. Can be either of the following: "both", "up", +#' "down", or "both_colored". +#' @param min_setsize Numeric value, specifying the minimal number of +#' observations in an intersection for it to be included in the upset plot. #' @param pthresh Numeric value, corresponding to the p-value to use as a #' threshold to subset the features to include. #' From 6a158f998058cb6b4da53501cb85d32a58b826a0 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 12 Jan 2023 13:32:55 +0100 Subject: [PATCH 160/182] documenting summary func, borrowing and linking from other functions --- R/DeeDee_summary.R | 98 ++++++++++++++++++++++++++++++++++------------ 1 file changed, 72 insertions(+), 26 deletions(-) diff --git a/R/DeeDee_summary.R b/R/DeeDee_summary.R index 3f44f54..b834115 100644 --- a/R/DeeDee_summary.R +++ b/R/DeeDee_summary.R @@ -1,30 +1,72 @@ -#' Title +#' deedee_summary #' -#' @param dde todo -#' @param template todo -#' @param output_path todo -#' @param overwrite todo -#' @param pthresh todo -#' @param scatter_select1 todo -#' @param scatter_select2 todo -#' @param scatter_color_by todo -#' @param heatmap_show_first todo -#' @param heatmap_show_gene_names todo -#' @param heatmap_dist todo -#' @param heatmap_clust todo -#' @param heatmap_show_na todo -#' @param venn_mode todo -#' @param upset_mode todo -#' @param upset_min_setsize todo -#' @param qqmult_ref todo -#' @param cat_ref todo -#' @param cat_maxrank todo -#' @param cat_mode todo -#' @param render_quiet todo -#' @param silent todo -#' @param open_file todo +#' Generates a comprehensive summary on the DE analyses, in one command #' -#' @return todo +#' Most parameters in this function call are related to a specific function of the +#' `DeeDee` package. Please refer to the individual help pages for more details, +#' reminding that the parameter naming scheme is mirroring the pattern +#' `function_parameter`, e.g. `scatter_color_by` controlling the `color_by` +#' value in the [deedee_scatter()] function. +#' +#' @param dde A [DeeDeeExperiment] object. +#' @param template Character value. Defines the location of the Rmd template to use +#' for generating the summary +#' @param output_path Character value, name of the file the report will be saved +#' to. Defaults to `DeeDeeSummary.html`, in the current working directory. +#' @param overwrite Logical value, whether to overwrite an existing file if +#' choosing the exact same name. +#' @param pthresh Numeric value, corresponding to the p-value to use as a +#' threshold to subset the features to include. This parameter is shared across +#' a number of individual `DeeDee` functions. +#' @param scatter_select1 From [deedee_scatter()] - Numeric value, corresponding +#' to the order of the element in the dde object to be selected first. +#' @param scatter_select2 From [deedee_scatter()] - Numeric value, corresponding +#' to the order of the element in the dde object to be selected as second. +#' @param scatter_color_by From [deedee_scatter()] - Character value, either +#' "pval1" or "pval2" to color the individual points mapping them to the p-value +#' of either DE result set. +#' @param heatmap_show_first From [deedee_heatmap()] - Numeric value, specifying +#' the number of features to include. +#' @param heatmap_show_gene_names From [deedee_heatmap()] - Logical value, +#' whether to display the gene names on the heatmap's side. +#' @param heatmap_dist From [deedee_heatmap()] - Character value, specifying the +#' distance type to use in the call to ComplexHeatmap. +#' @param heatmap_clust From [deedee_heatmap()] - Character value. Defines the +#' method to perform hierarchical clustering, passed to `hclust`, as used in +#' `ComplexHeatmap`. +#' @param heatmap_show_na From [deedee_heatmap()] - Logical value, whether to +#' include features that have `NA` value for the log fold change. +#' @param venn_mode From [deedee_venn()] - Character value, one of "both", "up", +#' or "down". Specifies which set of features to focus on for the overlap +#' calculations. +#' @param upset_mode From [deedee_upset()] - Character value, specifies which +#' subset of features to include in the overlap computations. +#' Can be either of the following: "both", "up", "down", or "both_colored". +#' @param upset_min_setsize From [deedee_upset()] - Numeric value, specifying +#' the minimal number of observations in an intersection for it to be included +#' in the upset plot. +#' @param qqmult_ref From [deedee_qqmult()] - A numeric value, corresponding to +#' the order of the element in the `dde` object to be used as a reference for the +#' multi Q-Q plot. +#' @param cat_ref From [deedee_cat()] - A numeric value, corresponding to the +#' order of the element in the dde object to be used as a reference in the CAT +#' plot. +#' @param cat_maxrank From [deedee_cat()] - A numeric value. Indicates the +#' maximum ranked feature to include when computing the Concordance At the Top. +#' @param cat_mode From [deedee_cat()] - A character value, could be one of "up", +#' "down", or "both". Defines which features to include in the computations. +#' @param render_quiet Logical value. Whether to render the report quietly when +#' calling `rmarkdown::render()`. +#' @param silent Logical value, prints a message once completed if set to TRUE. +#' @param open_file Logical value, if set to TRUE opens up the report once +#' generated into a browser window. +#' +#' @seealso +#' [deedee_cat()], [deedee_heatmap()], [deedee_qq()], [deedee_qqmult()], +#' [deedee_scatter()], [deedee_upset()], and [deedee_venn()] +#' +#' @return Generates a fully fledged report in the location specified by +#' `output_path`, and returns (invisibly) the name of the generated report. #' @export #' #' @examples @@ -111,6 +153,8 @@ deedee_summary <- function(dde, # package = "DeeDee" # ) + + file.exists(template) if (file.exists(output_path)) { @@ -145,8 +189,10 @@ deedee_summary <- function(dde, file.remove(output_rmd) if (silent == FALSE) { - message("Your summary has been generated!") + message("Your summary has been generated in ", output_path) } + + invisible(output_path) } # deedee_summary(dde, From 0778bef17d4996c48d7dd65897ecafe2fe629f91 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 12 Jan 2023 13:33:08 +0100 Subject: [PATCH 161/182] re-rendering manpage --- man/deedee_bars.Rd | 4 +- man/deedee_heatmap.Rd | 4 +- man/deedee_qq.Rd | 12 ++++-- man/deedee_scatter.Rd | 9 +++-- man/deedee_summary.Rd | 93 +++++++++++++++++++++++++++++++------------ man/deedee_upset.Rd | 7 +++- 6 files changed, 90 insertions(+), 39 deletions(-) diff --git a/man/deedee_bars.Rd b/man/deedee_bars.Rd index ece0d4b..0586740 100644 --- a/man/deedee_bars.Rd +++ b/man/deedee_bars.Rd @@ -7,10 +7,10 @@ deedee_bars(dde) } \arguments{ -\item{dde}{todo} +\item{dde}{A \link{DeeDeeExperiment} object.} } \value{ -todo +A \code{ggplot} plot object. } \description{ Title diff --git a/man/deedee_heatmap.Rd b/man/deedee_heatmap.Rd index ef118b3..d3e9e21 100644 --- a/man/deedee_heatmap.Rd +++ b/man/deedee_heatmap.Rd @@ -29,9 +29,9 @@ to \code{ComplexHeatmap}. Accordingly, it can be a pre-defined character "pearson", "spearman", "kendall").} \item{clust}{Character value. Defines the method to perform hierarchical -clustering, passed to hclust, as used in \code{ComplexHeatmap}.} +clustering, passed to \code{hclust}, as used in \code{ComplexHeatmap}.} -\item{show_na}{Logical value, whether to include features that have NA value +\item{show_na}{Logical value, whether to include features that have \code{NA} value for the log fold change.} \item{pthresh}{Numeric value, corresponding to the p-value to use as a diff --git a/man/deedee_qq.Rd b/man/deedee_qq.Rd index a767f6d..9a089e1 100644 --- a/man/deedee_qq.Rd +++ b/man/deedee_qq.Rd @@ -16,13 +16,17 @@ deedee_qq( \arguments{ \item{dde}{A \link{DeeDeeExperiment} object.} -\item{select1}{todo} +\item{select1}{Numeric value, corresponding to the order of the element in the +\code{dde} object to be selected first.} -\item{select2}{todo} +\item{select2}{Numeric value, corresponding to the order of the element in the +\code{dde} object to be selected as second.} -\item{color_by}{todo} +\item{color_by}{Character value, either "pval1" or "pval2" to color the +individual points mapping them to the p-value of either DE result set.} -\item{as_line}{todo} +\item{as_line}{Logical value, whether to plot the Q-Q information as a line - +defaults to FALSE.} \item{pthresh}{Numeric value, corresponding to the p-value to use as a threshold to subset the features to include.} diff --git a/man/deedee_scatter.Rd b/man/deedee_scatter.Rd index a832bc2..946bb1c 100644 --- a/man/deedee_scatter.Rd +++ b/man/deedee_scatter.Rd @@ -15,11 +15,14 @@ deedee_scatter( \arguments{ \item{dde}{A \link{DeeDeeExperiment} object.} -\item{select1}{todo} +\item{select1}{Numeric value, corresponding to the order of the element in the +\code{dde} object to be selected first.} -\item{select2}{todo} +\item{select2}{Numeric value, corresponding to the order of the element in the +\code{dde} object to be selected as second.} -\item{color_by}{todo} +\item{color_by}{Character value, either "pval1" or "pval2" to color the +individual points mapping them to the p-value of either DE result set.} \item{pthresh}{Numeric value, corresponding to the p-value to use as a threshold to subset the features to include.} diff --git a/man/deedee_summary.Rd b/man/deedee_summary.Rd index 2f7ca76..0b9b9c6 100644 --- a/man/deedee_summary.Rd +++ b/man/deedee_summary.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/DeeDee_summary.R \name{deedee_summary} \alias{deedee_summary} -\title{Title} +\title{deedee_summary} \usage{ deedee_summary( dde, @@ -31,57 +31,94 @@ deedee_summary( ) } \arguments{ -\item{dde}{todo} +\item{dde}{A \link{DeeDeeExperiment} object.} -\item{template}{todo} +\item{template}{Character value. Defines the location of the Rmd template to use +for generating the summary} -\item{output_path}{todo} +\item{output_path}{Character value, name of the file the report will be saved +to. Defaults to \code{DeeDeeSummary.html}, in the current working directory.} -\item{overwrite}{todo} +\item{overwrite}{Logical value, whether to overwrite an existing file if +choosing the exact same name.} -\item{pthresh}{todo} +\item{pthresh}{Numeric value, corresponding to the p-value to use as a +threshold to subset the features to include. This parameter is shared across +a number of individual \code{DeeDee} functions.} -\item{scatter_select1}{todo} +\item{scatter_select1}{From \code{\link[=deedee_scatter]{deedee_scatter()}} - Numeric value, corresponding +to the order of the element in the dde object to be selected first.} -\item{scatter_select2}{todo} +\item{scatter_select2}{From \code{\link[=deedee_scatter]{deedee_scatter()}} - Numeric value, corresponding +to the order of the element in the dde object to be selected as second.} -\item{scatter_color_by}{todo} +\item{scatter_color_by}{From \code{\link[=deedee_scatter]{deedee_scatter()}} - Character value, either +"pval1" or "pval2" to color the individual points mapping them to the p-value +of either DE result set.} -\item{heatmap_show_first}{todo} +\item{heatmap_show_first}{From \code{\link[=deedee_heatmap]{deedee_heatmap()}} - Numeric value, specifying +the number of features to include.} -\item{heatmap_show_gene_names}{todo} +\item{heatmap_show_gene_names}{From \code{\link[=deedee_heatmap]{deedee_heatmap()}} - Logical value, +whether to display the gene names on the heatmap's side.} -\item{heatmap_dist}{todo} +\item{heatmap_dist}{From \code{\link[=deedee_heatmap]{deedee_heatmap()}} - Character value, specifying the +distance type to use in the call to ComplexHeatmap.} -\item{heatmap_clust}{todo} +\item{heatmap_clust}{From \code{\link[=deedee_heatmap]{deedee_heatmap()}} - Character value. Defines the +method to perform hierarchical clustering, passed to \code{hclust}, as used in +\code{ComplexHeatmap}.} -\item{heatmap_show_na}{todo} +\item{heatmap_show_na}{From \code{\link[=deedee_heatmap]{deedee_heatmap()}} - Logical value, whether to +include features that have \code{NA} value for the log fold change.} -\item{venn_mode}{todo} +\item{venn_mode}{From \code{\link[=deedee_venn]{deedee_venn()}} - Character value, one of "both", "up", +or "down". Specifies which set of features to focus on for the overlap +calculations.} -\item{upset_mode}{todo} +\item{upset_mode}{From \code{\link[=deedee_upset]{deedee_upset()}} - Character value, specifies which +subset of features to include in the overlap computations. +Can be either of the following: "both", "up", "down", or "both_colored".} -\item{upset_min_setsize}{todo} +\item{upset_min_setsize}{From \code{\link[=deedee_upset]{deedee_upset()}} - Numeric value, specifying +the minimal number of observations in an intersection for it to be included +in the upset plot.} -\item{qqmult_ref}{todo} +\item{qqmult_ref}{From \code{\link[=deedee_qqmult]{deedee_qqmult()}} - A numeric value, corresponding to +the order of the element in the \code{dde} object to be used as a reference for the +multi Q-Q plot.} -\item{cat_ref}{todo} +\item{cat_ref}{From \code{\link[=deedee_cat]{deedee_cat()}} - A numeric value, corresponding to the +order of the element in the dde object to be used as a reference in the CAT +plot.} -\item{cat_maxrank}{todo} +\item{cat_maxrank}{From \code{\link[=deedee_cat]{deedee_cat()}} - A numeric value. Indicates the +maximum ranked feature to include when computing the Concordance At the Top.} -\item{cat_mode}{todo} +\item{cat_mode}{From \code{\link[=deedee_cat]{deedee_cat()}} - A character value, could be one of "up", +"down", or "both". Defines which features to include in the computations.} -\item{render_quiet}{todo} +\item{render_quiet}{Logical value. Whether to render the report quietly when +calling \code{rmarkdown::render()}.} -\item{silent}{todo} +\item{silent}{Logical value, prints a message once completed if set to TRUE.} -\item{open_file}{todo} +\item{open_file}{Logical value, if set to TRUE opens up the report once +generated into a browser window.} } \value{ -todo +Generates a fully fledged report in the location specified by +\code{output_path}, and returns (invisibly) the name of the generated report. } \description{ -Title +Generates a comprehensive summary on the DE analyses, in one command +} +\details{ +Most parameters in this function call are related to a specific function of the +\code{DeeDee} package. Please refer to the individual help pages for more details, +reminding that the parameter naming scheme is mirroring the pattern +\code{function_parameter}, e.g. \code{scatter_color_by} controlling the \code{color_by} +value in the \code{\link[=deedee_scatter]{deedee_scatter()}} function. } \examples{ data("de_named_list", package = "DeeDee") @@ -102,3 +139,7 @@ dde # deedee_summary(dde) } +\seealso{ +\code{\link[=deedee_cat]{deedee_cat()}}, \code{\link[=deedee_heatmap]{deedee_heatmap()}}, \code{\link[=deedee_qq]{deedee_qq()}}, \code{\link[=deedee_qqmult]{deedee_qqmult()}}, +\code{\link[=deedee_scatter]{deedee_scatter()}}, \code{\link[=deedee_upset]{deedee_upset()}}, and \code{\link[=deedee_venn]{deedee_venn()}} +} diff --git a/man/deedee_upset.Rd b/man/deedee_upset.Rd index 3bf8753..74a861e 100644 --- a/man/deedee_upset.Rd +++ b/man/deedee_upset.Rd @@ -9,9 +9,12 @@ deedee_upset(dde, mode = "both_colored", min_setsize = 10, pthresh = 0.05) \arguments{ \item{dde}{A \link{DeeDeeExperiment} object.} -\item{mode}{todo} +\item{mode}{Character value, specifies which subset of features to include +in the overlap computations. Can be either of the following: "both", "up", +"down", or "both_colored".} -\item{min_setsize}{todo} +\item{min_setsize}{Numeric value, specifying the minimal number of +observations in an intersection for it to be included in the upset plot.} \item{pthresh}{Numeric value, corresponding to the p-value to use as a threshold to subset the features to include.} From b2856e3d6ec2921be47269c2b1565793c4c3fd92 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 13 Mar 2023 14:37:38 +0100 Subject: [PATCH 162/182] simple function to have a visual comparison with bars on DE regulation --- R/DeeDee_bars.R | 56 +++++++++++++++++++++++++++++++++++++++++++------ 1 file changed, 50 insertions(+), 6 deletions(-) diff --git a/R/DeeDee_bars.R b/R/DeeDee_bars.R index fd66c11..57503c6 100644 --- a/R/DeeDee_bars.R +++ b/R/DeeDee_bars.R @@ -1,8 +1,13 @@ #' Title #' -#' @param dde todo +#' @param dde A [DeeDeeExperiment] object. +#' @param p_thresh Numeric value, corresponding to the threshold used to call a +#' feature as differentially expressed. +#' @param show_DEnumbers Logical value; +#' +#' @return A `ggplot` plot object, summarizing the amount of DE genes in each +#' comparison performed. #' -#' @return todo #' @export #' #' @examples @@ -21,17 +26,56 @@ #' de_results = del #' ) #' dde -deedee_bars <- function(dde) { - # extract the summary infos +#' +#' deedee_bars(dde) +deedee_bars <- function(dde, + p_thresh = 0.05, + show_DEnumbers = TRUE) { + # checks and all + # TODO - # put them together in a proper df + # extract the summary infos + dea_list <- get_dea_list(dde) + dea_summary <- lapply(names(dea_list), function(dea) { + this_dea <- dea_list[[dea]] + dea_tally_up <- sum(this_dea$log2FoldChange >= 0 & this_dea$padj <= p_thresh) + dea_tally_down <- sum(this_dea$log2FoldChange <= 0 & this_dea$padj <= p_thresh) - # plot via gg + dea_df <- data.frame( + dea = dea, + direction = c("Up", "Down"), + value = c(dea_tally_up, dea_tally_down) + ) + }) |> bind_rows() + dea_summary$direction <- factor(dea_summary$direction, levels = c("Up", "Down")) + res <- ggplot(dea_summary, + aes(x = .data$dea, + y = .data$value, + fill = .data$direction)) + + geom_bar(position = "dodge", + stat="identity") + + scale_fill_manual(values = c("#D62728FF", "#1F77B4FF")) + + labs(x = "", + y = "Number of DE genes", + fill = "Direction of\nregulation", + title = "DeeDeeExperiment summary", + subtitle = paste0("Including ", length(dea(dde)), " DE analyses") + ) + + theme_bw() + if (show_DEnumbers) { + res <- res + + geom_text( + aes(label = .data$value), + vjust = -0.7, position = position_dodge(width = 0.9) + ) + } # alternatively: return the df itself + + return(res) } From ddd18517e128be066f9eb2787658154ee917de10 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 13 Mar 2023 14:37:57 +0100 Subject: [PATCH 163/182] added some import directives --- NAMESPACE | 4 ++++ R/DeeDee-pkg.R | 5 +++-- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 8b6b446..e475c2a 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -64,12 +64,16 @@ importFrom(enrichplot,pairwise_termsim) importFrom(ggplot2,aes) importFrom(ggplot2,annotate) importFrom(ggplot2,coord_cartesian) +importFrom(ggplot2,geom_bar) importFrom(ggplot2,geom_line) importFrom(ggplot2,geom_point) +importFrom(ggplot2,geom_text) importFrom(ggplot2,ggplot) importFrom(ggplot2,ggplot_build) importFrom(ggplot2,labs) +importFrom(ggplot2,position_dodge) importFrom(ggplot2,scale_fill_manual) +importFrom(ggplot2,theme_bw) importFrom(ggplot2,theme_light) importFrom(ggplot2,xlab) importFrom(ggplot2,ylab) diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index 6be01e7..408f410 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -18,8 +18,9 @@ #' @importFrom dplyr bind_rows full_join inner_join #' @importFrom edgeR topTags #' @importFrom enrichplot emapplot pairwise_termsim -#' @importFrom ggplot2 aes annotate coord_cartesian geom_line geom_point ggplot labs -#' scale_fill_manual theme_light xlab ylab ggplot_build +#' @importFrom ggplot2 aes annotate coord_cartesian geom_bar geom_line geom_point +#' geom_text ggplot labs position_dodge scale_fill_manual theme_bw theme_light +#' xlab ylab ggplot_build #' @importFrom ggvenn ggvenn #' @importFrom InteractiveComplexHeatmap makeInteractiveComplexHeatmap #' InteractiveComplexHeatmapOutput From a538163f0fec17e77b71c75454048a81d2593f8b Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 13 Mar 2023 14:38:04 +0100 Subject: [PATCH 164/182] rendered manpage --- man/deedee_bars.Rd | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/man/deedee_bars.Rd b/man/deedee_bars.Rd index 0586740..2805664 100644 --- a/man/deedee_bars.Rd +++ b/man/deedee_bars.Rd @@ -4,13 +4,19 @@ \alias{deedee_bars} \title{Title} \usage{ -deedee_bars(dde) +deedee_bars(dde, p_thresh = 0.05, show_DEnumbers = TRUE) } \arguments{ \item{dde}{A \link{DeeDeeExperiment} object.} + +\item{p_thresh}{Numeric value, corresponding to the threshold used to call a +feature as differentially expressed.} + +\item{show_DEnumbers}{Logical value;} } \value{ -A \code{ggplot} plot object. +A \code{ggplot} plot object, summarizing the amount of DE genes in each +comparison performed. } \description{ Title @@ -31,4 +37,6 @@ dde <- DeeDeeExperiment( de_results = del ) dde + +deedee_bars(dde) } From ac7f10641b77b61ed00d59d311e60ff6b950d4f0 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Mon, 13 Mar 2023 15:40:11 +0100 Subject: [PATCH 165/182] adding some simple basic unit tests for the bar chart function --- tests/testthat/test-DeeDee_plots.R | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/tests/testthat/test-DeeDee_plots.R b/tests/testthat/test-DeeDee_plots.R index 30061ee..5117809 100644 --- a/tests/testthat/test-DeeDee_plots.R +++ b/tests/testthat/test-DeeDee_plots.R @@ -39,6 +39,14 @@ test_that("plotting & plotting", { p_cat <- deedee_cat(dde) expect_is(p_cat, "gg") + + p_bars <- deedee_bars(dde) + expect_is(p_bars, "gg") + + p_bars_wnumbers <- deedee_bars(dde, show_DEnumbers = TRUE) + expect_is(p_bars_wnumbers, "gg") + + p_cat_down <- deedee_cat(dde, mode = "down") expect_is(p_cat_down, "gg") p_cat_both <- deedee_cat(dde, mode = "both") From 6fe6bfb3c083f4f013883897634322474d9649fd Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 14 Mar 2023 09:51:54 +0100 Subject: [PATCH 166/182] working on the heatmap with expression AND logFC info --- R/DeeDee_heatmap.R | 82 ++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 82 insertions(+) diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R index 91c1d3e..82d2aa1 100644 --- a/R/DeeDee_heatmap.R +++ b/R/DeeDee_heatmap.R @@ -147,4 +147,86 @@ deedee_heatmap <- function(dde, # TODOs: do this by overriding the selection of genes # TODOs: add option to return the data frame instead of the plotted object +#' Title +#' +#' @param dde TODO +#' @param assay_name TODO +#' @param pvalue_threshold TODO +#' @param logfc_threshold TODO +#' @param custom_genelist TODO +#' +#' @return TODO +#' @export +#' +#' @examples +#' # TODO +deedee_deheat <- function(dde, + assay_name = "vst", + pvalue_threshold = 0.05, + logfc_threshold = 5, + custom_genelist = NULL) { + + # checks: need an assay to plot the expression values + + # extract DE genes in any contrast + dea_list <- get_dea_list(dde) + + dea_features <- lapply(names(dea_list), function(dea) { + this_dea <- dea_list[[dea]] + + this_de_features <- + rownames(this_dea[(abs(this_dea$log2FoldChange) >= logfc_threshold) & + (this_dea$padj <= pvalue_threshold), ]) + }) + names(dea_features) <- names(dea_list) + + # merge them + de_features <- unique(unlist(dea_features)) + + # also using the custom genelist + if (!is.null(custom_genelist)) { + custom_genelist_present <- intersect(rownames(dde), custom_genelist) + de_features <- unique(c(de_features, custom_genelist_present)) + } + + # prepare annotation columns + logfc_df <- data.frame(matrix(nrow = length(de_features), + ncol = length(dea_list))) + rownames(logfc_df) <- de_features + colnames(logfc_df) <- names(dea_list) + + # matching the logFC info into it + for (i in names(dea_list)) { + this_dea <- dea_list[[i]] + logfc_vector <- this_dea[rownames(logfc_df), ]$log2FoldChange + logfc_df[, i] <- logfc_vector + } + + # annotation for the samples as well? + + # take out a sensible assay - and vst that? + assay_to_use <- assays(dde)[[assay_name]] + assay_to_use <- vst(assay_to_use) + assay_to_use_de <- assay_to_use[de_features , ] + + # TODO if centered? + assay_to_use_de <- assay_to_use_de - rowMeans(assay_to_use_de) + + # create the heatmap itself + # pheatmap(assay_to_use_de, scale = "row", annotation_row = logfc_df) + + max_logfc <- max(abs(logfc_df)) + col_fun = circlize::colorRamp2(c(-max_logfc, 0, max_logfc), c("blue", "white", "red")) + + col_fun_list <- vector("list", length = length(dea_list)) + names(col_fun_list) <- names(dea_list) + for (i in names(dea_list)) col_fun_list[[i]] <- col_fun + + ha <- Heatmap(assay_to_use_de, + name = "Z-score\nexpression\nvalues", + left_annotation = rowAnnotation(df = logfc_df, col = col_fun_list), + show_row_names = FALSE) + + return(ha) +} From 225e11d55f5eb564ae137348f56ddf900b2e4c70 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Tue, 14 Mar 2023 09:52:18 +0100 Subject: [PATCH 167/182] adding missing imports, also in the namespace --- DESCRIPTION | 1 + NAMESPACE | 5 +++++ R/DeeDee-pkg.R | 7 ++++--- 3 files changed, 10 insertions(+), 3 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 8711868..27aab95 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -27,6 +27,7 @@ Depends: Imports: AnnotationDbi, checkmate, + circlize, clusterProfiler, ComplexHeatmap, ComplexUpset, diff --git a/NAMESPACE b/NAMESPACE index e475c2a..e9342fc 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -7,6 +7,7 @@ export(dea) export(deedee_app) export(deedee_bars) export(deedee_cat) +export(deedee_deheat) export(deedee_heatmap) export(deedee_qq) export(deedee_qqmult) @@ -29,10 +30,12 @@ importClassesFrom(SummarizedExperiment,RangedSummarizedExperiment) importFrom(AnnotationDbi,keytypes) importFrom(ComplexHeatmap,Heatmap) importFrom(ComplexHeatmap,draw) +importFrom(ComplexHeatmap,rowAnnotation) importFrom(ComplexUpset,intersection_size) importFrom(ComplexUpset,upset) importFrom(DESeq2,DESeq) importFrom(DESeq2,results) +importFrom(DESeq2,vst) importFrom(InteractiveComplexHeatmap,InteractiveComplexHeatmapOutput) importFrom(InteractiveComplexHeatmap,makeInteractiveComplexHeatmap) importFrom(S4Vectors,"metadata<-") @@ -42,6 +45,7 @@ importFrom(S4Vectors,metadata) importFrom(S4Vectors,setValidity2) importFrom(SummarizedExperiment,"rowData<-") importFrom(SummarizedExperiment,SummarizedExperiment) +importFrom(SummarizedExperiment,assays) importFrom(SummarizedExperiment,mcols) importFrom(SummarizedExperiment,rowData) importFrom(checkmate,assertChoice) @@ -54,6 +58,7 @@ importFrom(checkmate,assert_logical) importFrom(checkmate,assert_number) importFrom(checkmate,assert_subset) importFrom(checkmate,test_subset) +importFrom(circlize,colorRamp2) importFrom(clusterProfiler,enrichGO) importFrom(dplyr,bind_rows) importFrom(dplyr,full_join) diff --git a/R/DeeDee-pkg.R b/R/DeeDee-pkg.R index 408f410..8d6e14a 100644 --- a/R/DeeDee-pkg.R +++ b/R/DeeDee-pkg.R @@ -11,10 +11,11 @@ #' @importFrom AnnotationDbi keytypes #' @importFrom checkmate assert_choice assert_data_frame assert_list assert_logical #' assert_number assert_subset assertChoice assertClass assertDataFrame test_subset +#' @importFrom circlize colorRamp2 #' @importFrom clusterProfiler enrichGO -#' @importFrom ComplexHeatmap draw Heatmap +#' @importFrom ComplexHeatmap draw Heatmap rowAnnotation #' @importFrom ComplexUpset intersection_size upset -#' @importFrom DESeq2 results DESeq +#' @importFrom DESeq2 results DESeq vst #' @importFrom dplyr bind_rows full_join inner_join #' @importFrom edgeR topTags #' @importFrom enrichplot emapplot pairwise_termsim @@ -44,7 +45,7 @@ #' @importFrom stats approx complete.cases na.omit #' @importClassesFrom SummarizedExperiment RangedSummarizedExperiment #' @importFrom S4Vectors metadata metadata<- DataFrame SimpleList -#' @importFrom SummarizedExperiment rowData rowData<- mcols +#' @importFrom SummarizedExperiment rowData rowData<- mcols assays #' rowData rowData<- SummarizedExperiment #' @importFrom tibble column_to_rownames rownames_to_column #' @importFrom tools file_ext From 34d1baac8ad32b78b936076c2b659ea1bb50fb5f Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 11 May 2023 18:03:14 +0200 Subject: [PATCH 168/182] version bump - 0.2.0 to go hand in hand with the rework of the class, now formalized into DeeDeeExperiment --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 27aab95..cac889f 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: DeeDee Title: Comparative Evaluation and Visualization of Differential Expression Analyses -Version: 0.1.0 +Version: 0.2.0 Authors@R: c( person(given = "Lea", family = "Rothörl", role = c("aut", "cre"), From 711d9dd14de12851acb3e2420b850aea46d3d590 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 11 May 2023 18:28:15 +0200 Subject: [PATCH 169/182] updated and structured a bit the news --- NEWS.md | 19 ++++++++++++++++++- 1 file changed, 18 insertions(+), 1 deletion(-) diff --git a/NEWS.md b/NEWS.md index 2675d4e..f15acc8 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,2 +1,19 @@ +# DeeDee 0.2.0 + +## New features + +* DeeDee now is using a formal class definition, with `DeeDeeExperiment` being +a structure derived by the general `SummarizedExperiment` container +* `deedee_deheat()` presents a summary of the (transformed) expression values for +the set of genes reported as DE in the contrasts + +## Other notes + +* Added some basic infrastructure for unit testing +* Entered some biocViews for compliance with Bioconductor standards + # DeeDee 0.1.0 -basic functionality in standalone functions and app available + +## New features + +* Basic functionality in standalone functions and in the app are available! From 1fab151505c794368e0262f3e3b1bdcdb4761833 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 11 May 2023 18:28:24 +0200 Subject: [PATCH 170/182] assignment done with <- --- R/DeeDee_heatmap.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R index 82d2aa1..79f73e5 100644 --- a/R/DeeDee_heatmap.R +++ b/R/DeeDee_heatmap.R @@ -217,7 +217,7 @@ deedee_deheat <- function(dde, # pheatmap(assay_to_use_de, scale = "row", annotation_row = logfc_df) max_logfc <- max(abs(logfc_df)) - col_fun = circlize::colorRamp2(c(-max_logfc, 0, max_logfc), c("blue", "white", "red")) + col_fun <- circlize::colorRamp2(c(-max_logfc, 0, max_logfc), c("blue", "white", "red")) col_fun_list <- vector("list", length = length(dea_list)) names(col_fun_list) <- names(dea_list) From cc8983cbc9ffb7d6a8f12dbf0af9ce6641c845ef Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 11 May 2023 19:14:09 +0200 Subject: [PATCH 171/182] tracking bibtex file for the vignette --- vignettes/DeeDee_bibliography.bib | 40 +++++++++++++++++++++++++++++++ 1 file changed, 40 insertions(+) create mode 100644 vignettes/DeeDee_bibliography.bib diff --git a/vignettes/DeeDee_bibliography.bib b/vignettes/DeeDee_bibliography.bib new file mode 100644 index 0000000..135d029 --- /dev/null +++ b/vignettes/DeeDee_bibliography.bib @@ -0,0 +1,40 @@ +% Refs to be added + +@article{Alasoo2018, +abstract = {Regulatory variants are often context specific, modulating gene expression in a subset of possible cellular states. Although these genetic effects can play important roles in disease, the molecular mechanisms underlying context specificity are poorly understood. Here, we identified shared quantitative trait loci (QTLs) for chromatin accessibility and gene expression in human macrophages exposed to IFN$\gamma$, Salmonella and IFN$\gamma$ plus Salmonella. We observed that {\~{}}60{\%} of stimulus-specific expression QTLs with a detectable effect on chromatin altered the chromatin accessibility in naive cells, thus suggesting that they perturb enhancer priming. Such variants probably influence binding of cell-type-specific transcription factors, such as PU.1, which can then indirectly alter the binding of stimulus-specific transcription factors, such as NF-$\kappa$B or STAT2. Thus, although chromatin accessibility assays are powerful for fine-mapping causal regulatory variants, detecting their downstream effects on gene expression will be challenging, requiring profiling of large numbers of stimulated cellular states and time points.}, +author = {Alasoo, Kaur and Rodrigues, Julia and Mukhopadhyay, Subhankar and Knights, Andrew J. and Mann, Alice L. and Kundu, Kousik and Hale, Christine and Dougan, Gordon and Gaffney, Daniel J.}, +doi = {10.1038/s41588-018-0046-7}, +file = {:Users/fede/Library/Containers/com.apple.Preview/Data/Downloads/s41588-018-0046-7.pdf:pdf}, +issn = {15461718}, +journal = {Nature Genetics}, +mendeley-groups = {ideal{\_}manuscript,GeneTonic{\_}manuscript}, +number = {3}, +pages = {424--431}, +publisher = {Springer US}, +title = {{Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response}}, +url = {http://dx.doi.org/10.1038/s41588-018-0046-7}, +volume = {50}, +year = {2018} +} + +@article{Love2014, +abstract = {In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html webcite.}, +author = {Love, Michael I and Huber, Wolfgang and Anders, Simon}, +doi = {10.1186/s13059-014-0550-8}, +file = {:Users/fede/Library/Application Support/Mendeley Desktop/Downloaded/Love, Huber, Anders - 2014 - Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.pdf:pdf}, +isbn = {1465-6906}, +issn = {1474-760X}, +journal = {Genome Biology}, +keywords = {Algorithms,Computational Biology,Computational Biology: methods,Genetic,High-Throughput Nucleotide Sequencing,Models,RNA,RNA: analysis,Sequence Analysis,Software}, +mendeley-groups = {PhDthesis,pcaExplorer{\_}manuscript,ideal{\_}manuscript,VFapplication,VF,iSEE,GeneTonic{\_}manuscript}, +month = {dec}, +number = {12}, +pages = {550}, +pmid = {25516281}, +title = {{Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2}}, +url = {http://genomebiology.biomedcentral.com/articles/10.1186/s13059-014-0550-8}, +volume = {15}, +year = {2014} +} + + From 54cb51bfa463835aa9b47e759160afdbe6003b75 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 11 May 2023 19:16:24 +0200 Subject: [PATCH 172/182] pimping up the vignette - the beginning --- vignettes/deedee_manual.Rmd | 197 +++++++++++++++++++++++++++++++----- 1 file changed, 170 insertions(+), 27 deletions(-) diff --git a/vignettes/deedee_manual.Rmd b/vignettes/deedee_manual.Rmd index 19ac6f2..2861002 100644 --- a/vignettes/deedee_manual.Rmd +++ b/vignettes/deedee_manual.Rmd @@ -1,35 +1,188 @@ --- -title: "DeeDee User Guide" +title: > + The `DeeDee` User's Guide author: - name: Lea Rothörl - affiliation: Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), - Mainz -date: "`r Sys.Date()`" -output: - rmarkdown::html_document: - toc: yes - toc_float: yes - theme: cosmo + affiliation: + - Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), Mainz +- name: Federico Marini + affiliation: + - Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), Mainz + - Research Center for Immunotherapy (FZI), Mainz + email: marinif@uni-mainz.de +date: "`r BiocStyle::doc_date()`" +package: "`r BiocStyle::pkg_ver('DeeDee')`" +output: + BiocStyle::html_document: + toc_float: true code_folding: show code_download: yes -vignette: | - %\VignetteIndexEntry{The DeeDee User's Guide} - %\VignetteEncoding{UTF-8} - %\VignettePackage{DeeDee} +vignette: > + %\VignetteIndexEntry{The DeeDee User's Guide} + %\VignetteEncoding{UTF-8} + %\VignettePackage{DeeDee} + %\VignetteKeywords{GeneExpression, RNASeq, Sequencing, Visualization, QualityControl, GUI} %\VignetteEngine{knitr::rmarkdown} -editor_options: +editor_options: chunk_output_type: console +bibliography: DeeDee_bibliography.bib --- + + +**Compiled date**: `r Sys.Date()` + +**Last edited**: 2023-01-12 + +**License**: `r packageDescription("DeeDee")[["License"]]` + ```{r setup, include=FALSE} knitr::opts_chunk$set( - echo = TRUE, - eval = FALSE + collapse = TRUE, + comment = "#>", + error = FALSE, + warning = FALSE, + eval = TRUE, + message = FALSE, + fig.width = 10 ) + +options(width = 100) ``` -```{r, echo = FALSE, warning = FALSE, message = FALSE, results = "hide"} +

+ +# Introduction {#introduction} + +This vignette describes how to use the `r BiocStyle::Biocpkg("DeeDee")` package for ...... + +This package provides ...... + +In order to use `r BiocStyle::Biocpkg("DeeDee")` in your workflow, ...... the following inputs are required: + +In the remainder of this vignette, we will illustrate the main features of `r BiocStyle::Biocpkg("DeeDee")` on a publicly available dataset from Alasoo, et al. "Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response", published in Nature Genetics, January 2018 [@Alasoo2018] +[doi:10.1038/s41588-018-0046-7](https://doi.org/10.1038/s41588-018-0046-7). + +The data is made available via the `r BiocStyle::Biocpkg("macrophage")` Bioconductor package, which contains the files output from the Salmon quantification (version 0.12.0, with Gencode v29 reference), as well as the values summarized at the gene level, which we will use to exemplify. + +In the `macrophage` experimental setting, the samples are available from 6 different donors, in 4 different conditions (naive, treated with Interferon gamma, with SL1344, or with a combination of Interferon gamma and SL1344). + +...... + +We will focus our attention on the following comparisons: + +* between Interferon gamma treated samples vs naive samples. +...... + +# Getting started {#gettingstarted} + +To install this package, start R and enter: + +```{r install, eval=FALSE} +if (!requireNamespace("BiocManager", quietly = TRUE)) + install.packages("BiocManager") + +BiocManager::install("DeeDee") +``` + +Once installed, the package can be loaded and attached to your current workspace as follows: + +```{r loadlib, eval = TRUE} library("DeeDee") +``` + +If you have all four input elements ready, + +...... + +you can launch the `GeneTonic()` app by running: + +...... + + +# The `DeeDeeExperiment` class + +yadda yadda + +...... + +# A typical analysis workflow with `DeeDee` {#typicalworkflow} + + +a number of functions which can be used also as standalone components for a workflow. + + + +# Using `DeeDee` interactively: the `deedee_app()` + + +Description of the `DeeDee` user interface {#userinterface} + +What it does + +How to use it + + + + +# Additional Information {#additionalinfo} + +Bug reports can be posted on the Bioconductor support site (https://support.bioconductor.org/) or raised as issues in the `DeeDee` GitHub repository +...... +(https://github.com/federicomarini/GeneTonic/issues). + +The GitHub repository also contains the development version of the package, where new functionality is added over time - careful, you might be running bleeding edge versions! + +The authors appreciate well-considered suggestions for improvements or new features, or even better, pull requests. + +If you use `DeeDee` for your analysis, please cite it as shown below: + +```{r cite} +citation("DeeDee") +``` + + +# FAQs {#faqs} + +**Q: Why DeeDee?** + +A: For this and that + +**Q: I'd like to try `DeeDee` but I could not install it/I just want a quick peek into it. What can I do for this?** + +A: We set up an instance of `DeeDee` running on the `macrophage` dataset at this address: http://shiny.imbei.uni-mainz.de:3838/DeeDee. + +# Session Info {- .smaller} + +```{r sessioninfo} +sessionInfo() +``` + +# References {-} + +```{r} +``` + + + + + + + + + + + + + + + +```{r, echo = FALSE, warning = FALSE, message = FALSE, results = "hide"} +library(DeeDeeLegacy) data(DE_results_IFNg_naive, package = "DeeDee") IFNg_naive <- deedee_prepare(IFNg_naive, "DESeq2") data(DE_results_IFNg_both, package = "DeeDee") @@ -210,14 +363,4 @@ More information on the usage can be found in the `INFO` panel in each respectiv Optionally, you can include a list of DeeDee tables as an argument to the `deedee_app(data = DeeDee_obj)` function. The input can be combined with uploads and used just like these. -# Session Info {-} - - -```{r, collapse=TRUE} -sessionInfo() -``` - - - - From e5cbbe0569e2b7bf51eb72f7fe8ac7c8b2cc2161 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Thu, 11 May 2023 19:16:59 +0200 Subject: [PATCH 173/182] added temporary docs for the deedee_deheat function --- man/deedee_deheat.Rd | 44 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 44 insertions(+) create mode 100644 man/deedee_deheat.Rd diff --git a/man/deedee_deheat.Rd b/man/deedee_deheat.Rd new file mode 100644 index 0000000..08afbf7 --- /dev/null +++ b/man/deedee_deheat.Rd @@ -0,0 +1,44 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee_heatmap.R +\name{deedee_deheat} +\alias{deedee_deheat} +\title{deedee_heatmap(dd_list_original, +pthresh = 0.05, show_first = 25, +show_gene_names = FALSE, dist = "euclidean", +clust = "average", show_na = FALSE +) +Title} +\usage{ +deedee_deheat( + dde, + assay_name = "vst", + pvalue_threshold = 0.05, + logfc_threshold = 5, + custom_genelist = NULL +) +} +\arguments{ +\item{dde}{TODO} + +\item{assay_name}{TODO} + +\item{pvalue_threshold}{TODO} + +\item{logfc_threshold}{TODO} + +\item{custom_genelist}{TODO} +} +\value{ +TODO +} +\description{ +deedee_heatmap(dd_list_original, +pthresh = 0.05, show_first = 25, +show_gene_names = FALSE, dist = "euclidean", +clust = "average", show_na = FALSE +) +Title +} +\examples{ +# TODO +} From 926b27f5db39bfd860804f5a8413c223cc48c60b Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 27 Sep 2023 18:03:13 +0200 Subject: [PATCH 174/182] del renamed to a more explicit - and clear to understand - de_named_list --- R/DeeDee-app.R | 6 +++--- R/DeeDeeExperiment-methods.R | 10 +++++----- R/DeeDeeExperiment.R | 8 ++++---- R/DeeDee_bars.R | 6 +++--- R/DeeDee_cat.R | 6 +++--- R/DeeDee_heatmap.R | 6 +++--- R/DeeDee_qq.R | 6 +++--- R/DeeDee_qqmult.R | 6 +++--- R/DeeDee_scatter.R | 6 +++--- R/DeeDee_summary.R | 6 +++--- R/DeeDee_upset.R | 6 +++--- R/DeeDee_venn.R | 6 +++--- data/de_named_list.RData | Bin 1638352 -> 1641472 bytes inst/scripts/create_datasets_example.R | 6 +++--- 14 files changed, 42 insertions(+), 42 deletions(-) diff --git a/R/DeeDee-app.R b/R/DeeDee-app.R index 055bc2c..be1ec19 100644 --- a/R/DeeDee-app.R +++ b/R/DeeDee-app.R @@ -15,15 +15,15 @@ #' library("SummarizedExperiment") #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) #' dde #' diff --git a/R/DeeDeeExperiment-methods.R b/R/DeeDeeExperiment-methods.R index 0d3d085..e7115cf 100644 --- a/R/DeeDeeExperiment-methods.R +++ b/R/DeeDeeExperiment-methods.R @@ -41,8 +41,8 @@ #' library("SummarizedExperiment") #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage @@ -51,13 +51,13 @@ #' # creating a `DeeDeeExperiment` #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) #' dde #' #' new_del <- list( -#' ifng2 = del$ifng_vs_naive, -#' ifngsalmo2 = del$ifngsalmo_vs_naive +#' ifng2 = de_named_list$ifng_vs_naive, +#' ifngsalmo2 = de_named_list$ifngsalmo_vs_naive #' ) #' #' # add a new (set of) DE result(s) diff --git a/R/DeeDeeExperiment.R b/R/DeeDeeExperiment.R index 6bdbd95..2a54d6b 100644 --- a/R/DeeDeeExperiment.R +++ b/R/DeeDeeExperiment.R @@ -42,15 +42,15 @@ #' data("de_named_list", package = "DeeDee") #' #' dde_onlyde <- DeeDeeExperiment( -#' de_results = del +#' de_results = de_named_list #' ) #' #' # or, with a SE object as support - even without assay data available #' library("SummarizedExperiment") #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage @@ -58,7 +58,7 @@ #' #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) DeeDeeExperiment <- function(se = NULL, de_results = NULL) { diff --git a/R/DeeDee_bars.R b/R/DeeDee_bars.R index 57503c6..de28e20 100644 --- a/R/DeeDee_bars.R +++ b/R/DeeDee_bars.R @@ -15,15 +15,15 @@ #' library(SummarizedExperiment) #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) #' dde #' diff --git a/R/DeeDee_cat.R b/R/DeeDee_cat.R index 6b9cffc..b9dfdc0 100644 --- a/R/DeeDee_cat.R +++ b/R/DeeDee_cat.R @@ -20,15 +20,15 @@ #' library("SummarizedExperiment") #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) #' dde #' diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R index 79f73e5..b1cc43b 100644 --- a/R/DeeDee_heatmap.R +++ b/R/DeeDee_heatmap.R @@ -26,15 +26,15 @@ #' library("SummarizedExperiment") #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) #' dde #' diff --git a/R/DeeDee_qq.R b/R/DeeDee_qq.R index c9755cc..175a9b7 100644 --- a/R/DeeDee_qq.R +++ b/R/DeeDee_qq.R @@ -22,15 +22,15 @@ #' library("SummarizedExperiment") #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) #' dde #' diff --git a/R/DeeDee_qqmult.R b/R/DeeDee_qqmult.R index 909947b..a520c68 100644 --- a/R/DeeDee_qqmult.R +++ b/R/DeeDee_qqmult.R @@ -16,15 +16,15 @@ #' library("SummarizedExperiment") #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) #' dde #' diff --git a/R/DeeDee_scatter.R b/R/DeeDee_scatter.R index 3ac0471..966e761 100644 --- a/R/DeeDee_scatter.R +++ b/R/DeeDee_scatter.R @@ -20,15 +20,15 @@ #' library("SummarizedExperiment") #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) #' dde #' diff --git a/R/DeeDee_summary.R b/R/DeeDee_summary.R index b834115..725cc23 100644 --- a/R/DeeDee_summary.R +++ b/R/DeeDee_summary.R @@ -74,15 +74,15 @@ #' library("SummarizedExperiment") #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) #' dde #' diff --git a/R/DeeDee_upset.R b/R/DeeDee_upset.R index 56aba51..386bc49 100644 --- a/R/DeeDee_upset.R +++ b/R/DeeDee_upset.R @@ -19,15 +19,15 @@ #' library("SummarizedExperiment") #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) #' dde #' diff --git a/R/DeeDee_venn.R b/R/DeeDee_venn.R index 35833a8..7b81399 100644 --- a/R/DeeDee_venn.R +++ b/R/DeeDee_venn.R @@ -16,15 +16,15 @@ #' library("SummarizedExperiment") #' #' rd_macrophage <- DataFrame( -#' gene_id = rownames(del$ifng_vs_naive)) -#' rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) +#' gene_id = rownames(de_named_list$ifng_vs_naive)) +#' rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) #' se_macrophage_noassays <- SummarizedExperiment( #' assays = SimpleList(), #' rowData = rd_macrophage #' ) #' dde <- DeeDeeExperiment( #' se_macrophage_noassays, -#' de_results = del +#' de_results = de_named_list #' ) #' dde #' diff --git a/data/de_named_list.RData b/data/de_named_list.RData 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z8E0_#ByUcANAnl_CtRqse*%!?vJ3*Pg+jIsmrtJS%ubaF2`XO}x(g`V@+K+_YJ@xK zmg(_eGJfFaP%B8Pf12pJx{%wA1o-E9;@{X2b&Y4&iQi~g1eRaQWpHR`B6BC0r z4!A$clFej7C5WD#4LW~0S@sMUg(gBIfbtD!ldy=pu_HLOkdOZp&HPTW1 zgoU9{)w9fUT}idN6&Ukl_F(2sHNsC1<(PaT&+196aAe@ag75v6p2CzG&9GhitEBHW zChjjlYx#|{DZqX>5beQd6mCl+;Uq* zQBt-m{<9hUG}+ZYu)kr+n0q|2Y!qnV&H;jWmWjkPh%;@vNC8ZlG3gWGM=Ec9ae%Y`7?;~uUSHr{Hj$cw*#}b>PNk}} zG%jVZ>U}jCW%Op*H<-{0i>s9H<*VUA*ns8&W zrh4UE*gvb%b`+)P$JF=Zktl}SR1(`Mx|^KiHs>&E<1qKgsIZ?%gpEO9awK>BUc-Jq zemP3C-T8N_Jzq)^c^J8^xVB6>-YuSK=h2G6P*SwZ-8r#ro~uH#QWV|{04xjE8{zIe zSHx`Q;W8>bj`2vcD%8Z}qQ#*d$V4O~jGk@5xir?0kzy{+ Date: Wed, 27 Sep 2023 18:03:43 +0200 Subject: [PATCH 175/182] updating test suites --- man/de_named_list.Rd | 16 ++++++++++++++++ man/del.Rd | 13 ------------- tests/testthat/setuptests_DeeDee.R | 6 +++--- tests/testthat/test-DeeDeeExperiment.R | 18 +++++++++--------- tests/testthat/test-DeeDee_app.R | 4 ++-- tests/testthat/test-DeeDee_misc.R | 2 +- tests/testthat/test-DeeDee_plots.R | 2 +- 7 files changed, 32 insertions(+), 29 deletions(-) create mode 100644 man/de_named_list.Rd delete mode 100644 man/del.Rd diff --git a/man/de_named_list.Rd b/man/de_named_list.Rd new file mode 100644 index 0000000..22ee207 --- /dev/null +++ b/man/de_named_list.Rd @@ -0,0 +1,16 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/DeeDee-data.R +\docType{data} +\name{de_named_list} +\alias{de_named_list} +\title{de_named_list} +\value{ +A named list of DE results, in their original format +} +\description{ +A named list of DE results, in their original format (from DESeq2, edgeR or limma) +} +\details{ +documented creation in the \code{create_dataset_example.R} script in the +\code{scripts} package folder +} diff --git a/man/del.Rd b/man/del.Rd deleted file mode 100644 index 077aac9..0000000 --- a/man/del.Rd +++ /dev/null @@ -1,13 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/DeeDee-data.R -\docType{data} -\name{del} -\alias{del} -\title{del} -\description{ -A named list of DE results, in their original format -to be used -} -\details{ -documented creation in ... script -} diff --git a/tests/testthat/setuptests_DeeDee.R b/tests/testthat/setuptests_DeeDee.R index 66c8960..b74ff94 100644 --- a/tests/testthat/setuptests_DeeDee.R +++ b/tests/testthat/setuptests_DeeDee.R @@ -5,12 +5,12 @@ suppressPackageStartupMessages( data("de_named_list", package = "DeeDee") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage ) -names(del) +names(de_named_list) diff --git a/tests/testthat/test-DeeDeeExperiment.R b/tests/testthat/test-DeeDeeExperiment.R index 9a19bd1..faf535d 100644 --- a/tests/testthat/test-DeeDeeExperiment.R +++ b/tests/testthat/test-DeeDeeExperiment.R @@ -1,7 +1,7 @@ test_that("creating", { dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) print(dde) @@ -9,7 +9,7 @@ test_that("creating", { expect_is(dde, "DeeDeeExperiment") dde_only_de <- DeeDeeExperiment( - de_results = del + de_results = de_named_list ) expect_is(dde, "DeeDeeExperiment") @@ -36,14 +36,14 @@ test_that("creating", { expect_error( DeeDeeExperiment( rowData(se_macrophage_noassays), - de_results = del + de_results = de_named_list ) ) expect_error( DeeDeeExperiment( assay(se_macrophage), - de_results = del + de_results = de_named_list ) ) @@ -56,12 +56,12 @@ test_that("creating", { test_that("adding and removing", { dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) new_del <- list( - ifng2 = del$ifng_vs_naive, - ifngsalmo2 = del$ifngsalmo_vs_naive + ifng2 = de_named_list$ifng_vs_naive, + ifngsalmo2 = de_named_list$ifngsalmo_vs_naive ) # add a new (set of) DE result(s) dde_new <- add_dea(dde, new_del) @@ -78,7 +78,7 @@ test_that("adding and removing", { test_that("validity and so", { dde2 <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) expect_true(validObject(dde2)) @@ -88,7 +88,7 @@ test_that("validity and so", { dde3 <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) # invalid replacements diff --git a/tests/testthat/test-DeeDee_app.R b/tests/testthat/test-DeeDee_app.R index 5a9e9f1..d55cdd4 100644 --- a/tests/testthat/test-DeeDee_app.R +++ b/tests/testthat/test-DeeDee_app.R @@ -1,8 +1,8 @@ test_that("shiny", { - data(dd_list_original, package = "DeeDee") + # data(dd_list_original, package = "DeeDee") library("shiny") - myapp <- deedee_app(dde = DeeDeeExperiment(se = se_macrophage_noassays, de_results = del)) + myapp <- deedee_app(dde = DeeDeeExperiment(se = se_macrophage_noassays, de_results = de_named_list)) expect_is(myapp, "shiny.appobj") }) diff --git a/tests/testthat/test-DeeDee_misc.R b/tests/testthat/test-DeeDee_misc.R index 1403c8b..b3375cf 100644 --- a/tests/testthat/test-DeeDee_misc.R +++ b/tests/testthat/test-DeeDee_misc.R @@ -2,7 +2,7 @@ test_that("summary report", { dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) temp_output_file <- "test_report.html" diff --git a/tests/testthat/test-DeeDee_plots.R b/tests/testthat/test-DeeDee_plots.R index 5117809..02a378a 100644 --- a/tests/testthat/test-DeeDee_plots.R +++ b/tests/testthat/test-DeeDee_plots.R @@ -1,6 +1,6 @@ dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) # needed for bad handling of namespace by ggvenn From f3574e48ba4f2a16fef3287a04e62586c43610c8 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 27 Sep 2023 18:04:01 +0200 Subject: [PATCH 176/182] adding return value entries for the man pages --- R/DeeDee-data.R | 22 +++++++++++++++++----- 1 file changed, 17 insertions(+), 5 deletions(-) diff --git a/R/DeeDee-data.R b/R/DeeDee-data.R index 749b874..7efae2f 100644 --- a/R/DeeDee-data.R +++ b/R/DeeDee-data.R @@ -10,6 +10,8 @@ #' The code to create said object can be found in the folder `/inst/scripts` in #' the DeeDee package, the file is called `generate_data.R`. #' +#' @return A sample `DESeqResults` object, generated with `DESeq2` +#' #' @references Alasoo, et al. "Shared genetic effects on chromatin and gene #' expression indicate a role for enhancer priming in immune response", #' Nature Genetics, January 2018 doi: 10.1038/s41588-018-0046-7. @@ -31,6 +33,8 @@ NULL #' The code to create said object can be found in the folder `/inst/scripts` in #' the DeeDee package, the file is called `generate_data.R`. #' +#' @return A sample `DESeqResults` object, generated with `DESeq2` +#' #' @references Alasoo, et al. "Shared genetic effects on chromatin and gene #' expression indicate a role for enhancer priming in immune response", #' Nature Genetics, January 2018 doi: 10.1038/s41588-018-0046-7. @@ -52,6 +56,8 @@ NULL #' The code to create said object can be found in the folder `/inst/scripts` in #' the DeeDee package, the file is called `generate_data.R`. #' +#' @return A sample `DESeqResults` object, generated with `DESeq2` +#' #' @references Alasoo, et al. "Shared genetic effects on chromatin and gene #' expression indicate a role for enhancer priming in immune response", #' Nature Genetics, January 2018 doi: 10.1038/s41588-018-0046-7. @@ -74,6 +80,8 @@ NULL #' The code to create said object can be found in the folder `/inst/scripts` in #' the DeeDee package, the file is called `generate_data.R`. #' +#' @return A sample `DESeqResults` object, generated with `DESeq2` +#' #' @references Alasoo, et al. "Shared genetic effects on chromatin and gene #' expression indicate a role for enhancer priming in immune response", #' Nature Genetics, January 2018 doi: 10.1038/s41588-018-0046-7. @@ -89,6 +97,8 @@ NULL #' #' A list of `deedee_prepare`d DE results. #' +#' @return A list of DE results +#' #' @details documented creation in ... script #' #' @name dd_list_original @@ -97,13 +107,15 @@ NULL -#' del +#' de_named_list #' -#' A named list of DE results, in their original format -#' to be used +#' A named list of DE results, in their original format (from DESeq2, edgeR or limma) #' -#' @details documented creation in ... script +#' @return A named list of DE results, in their original format +#' +#' @details documented creation in the `create_dataset_example.R` script in the +#' `scripts` package folder #' -#' @name del +#' @name de_named_list #' @docType data NULL From e9d60336a951894fa19d4881165e1157d5960057 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 27 Sep 2023 18:04:37 +0200 Subject: [PATCH 177/182] re-rendered man pages --- man/DeeDeeExperiment-methods.Rd | 10 +++++----- man/DeeDeeExperiment.Rd | 8 ++++---- man/IFNg_both.Rd | 3 +++ man/IFNg_naive.Rd | 3 +++ man/Salm_both.Rd | 3 +++ man/Salm_naive.Rd | 3 +++ man/dd_list_original.Rd | 3 +++ man/deedee_app.Rd | 6 +++--- man/deedee_bars.Rd | 6 +++--- man/deedee_cat.Rd | 6 +++--- man/deedee_deheat.Rd | 1 + man/deedee_heatmap.Rd | 6 +++--- man/deedee_qq.Rd | 6 +++--- man/deedee_qqmult.Rd | 6 +++--- man/deedee_scatter.Rd | 6 +++--- man/deedee_summary.Rd | 6 +++--- man/deedee_upset.Rd | 6 +++--- man/deedee_venn.Rd | 6 +++--- 18 files changed, 55 insertions(+), 39 deletions(-) diff --git a/man/DeeDeeExperiment-methods.Rd b/man/DeeDeeExperiment-methods.Rd index 7388792..5de0f3b 100644 --- a/man/DeeDeeExperiment-methods.Rd +++ b/man/DeeDeeExperiment-methods.Rd @@ -66,8 +66,8 @@ data("de_named_list", package = "DeeDee") library("SummarizedExperiment") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage @@ -76,13 +76,13 @@ se_macrophage_noassays <- SummarizedExperiment( # creating a `DeeDeeExperiment` dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) dde new_del <- list( - ifng2 = del$ifng_vs_naive, - ifngsalmo2 = del$ifngsalmo_vs_naive + ifng2 = de_named_list$ifng_vs_naive, + ifngsalmo2 = de_named_list$ifngsalmo_vs_naive ) # add a new (set of) DE result(s) diff --git a/man/DeeDeeExperiment.Rd b/man/DeeDeeExperiment.Rd index 555a1c3..946be66 100644 --- a/man/DeeDeeExperiment.Rd +++ b/man/DeeDeeExperiment.Rd @@ -52,15 +52,15 @@ provided when instantiating the \link{DeeDeeExperiment}.} data("de_named_list", package = "DeeDee") dde_onlyde <- DeeDeeExperiment( - de_results = del + de_results = de_named_list ) # or, with a SE object as support - even without assay data available library("SummarizedExperiment") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage @@ -68,7 +68,7 @@ se_macrophage_noassays <- SummarizedExperiment( dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) } \author{ diff --git a/man/IFNg_both.Rd b/man/IFNg_both.Rd index 017da46..42ec6f4 100644 --- a/man/IFNg_both.Rd +++ b/man/IFNg_both.Rd @@ -4,6 +4,9 @@ \name{IFNg_both} \alias{IFNg_both} \title{A sample \code{DESeqResults} object} +\value{ +A sample \code{DESeqResults} object, generated with \code{DESeq2} +} \description{ A sample \code{DESeqResults} object, generated with \code{DESeq2} } diff --git a/man/IFNg_naive.Rd b/man/IFNg_naive.Rd index 08783b0..2d12ddd 100644 --- a/man/IFNg_naive.Rd +++ b/man/IFNg_naive.Rd @@ -4,6 +4,9 @@ \name{IFNg_naive} \alias{IFNg_naive} \title{A sample \code{DESeqResults} object} +\value{ +A sample \code{DESeqResults} object, generated with \code{DESeq2} +} \description{ A sample \code{DESeqResults} object, generated with \code{DESeq2} } diff --git a/man/Salm_both.Rd b/man/Salm_both.Rd index 6044835..b2eea7c 100644 --- a/man/Salm_both.Rd +++ b/man/Salm_both.Rd @@ -4,6 +4,9 @@ \name{Salm_both} \alias{Salm_both} \title{A sample \code{DESeqResults} object} +\value{ +A sample \code{DESeqResults} object, generated with \code{DESeq2} +} \description{ A sample \code{DESeqResults} object, generated with \code{DESeq2} } diff --git a/man/Salm_naive.Rd b/man/Salm_naive.Rd index 5654798..3502bed 100644 --- a/man/Salm_naive.Rd +++ b/man/Salm_naive.Rd @@ -4,6 +4,9 @@ \name{Salm_naive} \alias{Salm_naive} \title{A sample \code{DESeqResults} object} +\value{ +A sample \code{DESeqResults} object, generated with \code{DESeq2} +} \description{ A sample \code{DESeqResults} object, generated with \code{DESeq2} } diff --git a/man/dd_list_original.Rd b/man/dd_list_original.Rd index cc20513..d34ed39 100644 --- a/man/dd_list_original.Rd +++ b/man/dd_list_original.Rd @@ -4,6 +4,9 @@ \name{dd_list_original} \alias{dd_list_original} \title{dd_list_original} +\value{ +A list of DE results +} \description{ A list of \code{deedee_prepare}d DE results. } diff --git a/man/deedee_app.Rd b/man/deedee_app.Rd index a3c3923..b92292d 100644 --- a/man/deedee_app.Rd +++ b/man/deedee_app.Rd @@ -24,15 +24,15 @@ data("de_named_list", package = "DeeDee") library("SummarizedExperiment") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage ) dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) dde diff --git a/man/deedee_bars.Rd b/man/deedee_bars.Rd index 2805664..95a7c5d 100644 --- a/man/deedee_bars.Rd +++ b/man/deedee_bars.Rd @@ -26,15 +26,15 @@ data("de_named_list", package = "DeeDee") library(SummarizedExperiment) rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage ) dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) dde diff --git a/man/deedee_cat.Rd b/man/deedee_cat.Rd index 3b38194..543ff9f 100644 --- a/man/deedee_cat.Rd +++ b/man/deedee_cat.Rd @@ -32,15 +32,15 @@ data("de_named_list", package = "DeeDee") library("SummarizedExperiment") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage ) dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) dde diff --git a/man/deedee_deheat.Rd b/man/deedee_deheat.Rd index 08afbf7..76c54ff 100644 --- a/man/deedee_deheat.Rd +++ b/man/deedee_deheat.Rd @@ -41,4 +41,5 @@ Title } \examples{ # TODO +NULL } diff --git a/man/deedee_heatmap.Rd b/man/deedee_heatmap.Rd index d3e9e21..ff6b6ea 100644 --- a/man/deedee_heatmap.Rd +++ b/man/deedee_heatmap.Rd @@ -48,15 +48,15 @@ data("de_named_list", package = "DeeDee") library("SummarizedExperiment") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage ) dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) dde diff --git a/man/deedee_qq.Rd b/man/deedee_qq.Rd index 9a089e1..e95d937 100644 --- a/man/deedee_qq.Rd +++ b/man/deedee_qq.Rd @@ -42,15 +42,15 @@ data("de_named_list", package = "DeeDee") library("SummarizedExperiment") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage ) dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) dde diff --git a/man/deedee_qqmult.Rd b/man/deedee_qqmult.Rd index 9463fc8..7a512f8 100644 --- a/man/deedee_qqmult.Rd +++ b/man/deedee_qqmult.Rd @@ -26,15 +26,15 @@ data("de_named_list", package = "DeeDee") library("SummarizedExperiment") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage ) dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) dde diff --git a/man/deedee_scatter.Rd b/man/deedee_scatter.Rd index 946bb1c..2206b7d 100644 --- a/man/deedee_scatter.Rd +++ b/man/deedee_scatter.Rd @@ -38,15 +38,15 @@ data("de_named_list", package = "DeeDee") library("SummarizedExperiment") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage ) dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) dde diff --git a/man/deedee_summary.Rd b/man/deedee_summary.Rd index 0b9b9c6..be088aa 100644 --- a/man/deedee_summary.Rd +++ b/man/deedee_summary.Rd @@ -125,15 +125,15 @@ data("de_named_list", package = "DeeDee") library("SummarizedExperiment") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage ) dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) dde diff --git a/man/deedee_upset.Rd b/man/deedee_upset.Rd index 74a861e..06a590c 100644 --- a/man/deedee_upset.Rd +++ b/man/deedee_upset.Rd @@ -30,15 +30,15 @@ data("de_named_list", package = "DeeDee") library("SummarizedExperiment") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage ) dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) dde diff --git a/man/deedee_venn.Rd b/man/deedee_venn.Rd index 722dc80..364f2d0 100644 --- a/man/deedee_venn.Rd +++ b/man/deedee_venn.Rd @@ -26,15 +26,15 @@ data("de_named_list", package = "DeeDee") library("SummarizedExperiment") rd_macrophage <- DataFrame( - gene_id = rownames(del$ifng_vs_naive)) -rownames(rd_macrophage) <- rownames(del$ifng_vs_naive) + gene_id = rownames(de_named_list$ifng_vs_naive)) +rownames(rd_macrophage) <- rownames(de_named_list$ifng_vs_naive) se_macrophage_noassays <- SummarizedExperiment( assays = SimpleList(), rowData = rd_macrophage ) dde <- DeeDeeExperiment( se_macrophage_noassays, - de_results = del + de_results = de_named_list ) dde From 331cd246984357150adb042c69a7e44ff8c962ad Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 27 Sep 2023 18:05:14 +0200 Subject: [PATCH 178/182] revamp for incoming submission - updated version of R, FM set as maintainer --- DESCRIPTION | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index cac889f..680d16e 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -4,11 +4,11 @@ Title: Comparative Evaluation and Visualization of Differential Expression Version: 0.2.0 Authors@R: c( - person(given = "Lea", family = "Rothörl", role = c("aut", "cre"), + person(given = "Lea", family = "Rothörl", role = c("aut"), email = "lea.rothoerl@posteo.de", comment = c(ORCID = "0000-0003-2554-0583") ), person( - given = "Federico", family = "Marini", role = c("aut"), + given = "Federico", family = "Marini", role = c("aut", "cre"), email = "marinif@uni-mainz.de", comment = c(ORCID = "0000-0003-3252-7758") ) ) @@ -23,7 +23,7 @@ Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.2.3 Depends: - R (>= 4.2.0) + R (>= 4.3.0) Imports: AnnotationDbi, checkmate, From 52ab6510119a15ad27453b6253784380189830ed Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 27 Sep 2023 18:19:41 +0200 Subject: [PATCH 179/182] mark example to be done for the deheat heatmap --- R/DeeDee_heatmap.R | 1 + 1 file changed, 1 insertion(+) diff --git a/R/DeeDee_heatmap.R b/R/DeeDee_heatmap.R index b1cc43b..3895f30 100644 --- a/R/DeeDee_heatmap.R +++ b/R/DeeDee_heatmap.R @@ -160,6 +160,7 @@ deedee_heatmap <- function(dde, #' #' @examples #' # TODO +#' NULL ## TODO: this needs to be fully in deedee_deheat <- function(dde, assay_name = "vst", pvalue_threshold = 0.05, From 404ca8d96cc76a88d6fba9fa7294bbbd9831abd0 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 27 Sep 2023 18:23:11 +0200 Subject: [PATCH 180/182] adding BiocStyle dependency --- DESCRIPTION | 1 + 1 file changed, 1 insertion(+) diff --git a/DESCRIPTION b/DESCRIPTION index 680d16e..bd5d449 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -61,6 +61,7 @@ Imports: Suggests: macrophage, knitr, + BiocStyle, org.Hs.eg.db, org.Mm.eg.db, org.Rn.eg.db, From 4065548b3d8452fe8509d27e9f1648ad53acb869 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Wed, 27 Sep 2023 18:23:21 +0200 Subject: [PATCH 181/182] manpage again --- man/deedee_deheat.Rd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/man/deedee_deheat.Rd b/man/deedee_deheat.Rd index 76c54ff..be0d7cf 100644 --- a/man/deedee_deheat.Rd +++ b/man/deedee_deheat.Rd @@ -41,5 +41,5 @@ Title } \examples{ # TODO -NULL +NULL ## TODO: this needs to be fully in } From b14619dec98933761dcc34ecaf58878e137e9b9a Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Fri, 7 Feb 2025 12:01:44 +0100 Subject: [PATCH 182/182] changing the main content of the GithubActions --- .github/workflows/check-bioc.yml | 352 +++++++++++++++++++++++-------- 1 file changed, 264 insertions(+), 88 deletions(-) diff --git a/.github/workflows/check-bioc.yml b/.github/workflows/check-bioc.yml index e668e4c..dd0e37d 100644 --- a/.github/workflows/check-bioc.yml +++ b/.github/workflows/check-bioc.yml @@ -1,101 +1,241 @@ +## Read more about GitHub actions the features of this GitHub Actions workflow +## at https://lcolladotor.github.io/biocthis/articles/biocthis.html#use_bioc_github_action +## +## For more details, check the biocthis developer notes vignette at +## https://lcolladotor.github.io/biocthis/articles/biocthis_dev_notes.html +## +## You can add this workflow to other packages using: +## > biocthis::use_bioc_github_action() +## +## Using GitHub Actions exposes you to many details about how R packages are +## compiled and installed in several operating system.s +### If you need help, please follow the steps listed at +## https://github.com/r-lib/actions#where-to-find-help +## +## If you found an issue specific to biocthis's GHA workflow, please report it +## with the information that will make it easier for others to help you. +## Thank you! + +## Acronyms: +## * GHA: GitHub Action +## * OS: operating system + on: push: - pull_request: branches: - - master - schedule: - - cron: '0 8 * * 5' + - devel + pull_request: + +name: R-CMD-check-bioc -name: R-CMD-check +## These environment variables control whether to run GHA code later on that is +## specific to testthat, covr, and pkgdown. +## +## If you need to clear the cache of packages, update the number inside +## cache-version as discussed at https://github.com/r-lib/actions/issues/86. +## Note that you can always run a GHA test without the cache by using the word +## "/nocache" in the commit message. +env: + has_testthat: 'true' + run_covr: 'true' + run_pkgdown: 'true' + has_RUnit: 'false' + cache-version: 'cache-v1' + run_docker: 'false' jobs: - R-CMD-check: + build-check: runs-on: ${{ matrix.config.os }} - container: ${{ matrix.config.image }} - - name: ${{ matrix.config.os }} (${{ matrix.config.bioc }} - ${{ matrix.config.image }}) + name: ${{ matrix.config.os }} (${{ matrix.config.r }}) + container: ${{ matrix.config.cont }} + ## Environment variables unique to this job. strategy: fail-fast: false matrix: config: - - { os: windows-latest, bioc: 'devel'} - - { os: macOS-latest, bioc: 'devel', curlConfigPath: '/usr/bin/'} - - { os: ubuntu-latest, bioc: 'devel'} - # - { os: ubuntu-latest, bioc: 'devel', cran: "https://demo.rstudiopm.com/all/__linux__/xenial/latest"} - - { os: ubuntu-latest, image: 'bioconductor/bioconductor_docker:devel'} - + - { os: ubuntu-latest, r: 'devel', bioc: '3.21', cont: "bioconductor/bioconductor_docker:devel", rspm: "https://packagemanager.rstudio.com/cran/__linux__/jammy/latest" } + - { os: macOS-latest, r: 'devel', bioc: '3.21'} + - { os: windows-latest, r: 'devel', bioc: '3.21'} + ## Check https://github.com/r-lib/actions/tree/master/examples + ## for examples using the http-user-agent env: R_REMOTES_NO_ERRORS_FROM_WARNINGS: true - CRAN: ${{ matrix.config.cran }} + RSPM: ${{ matrix.config.rspm }} + NOT_CRAN: true + TZ: UTC GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} - CURL_CONFIG: ${{ matrix.config.curlConfigPath }}curl-config steps: - - name: Check out repo - uses: actions/checkout@v2 - - name: Set up R and install BiocManager - uses: grimbough/bioc-actions/setup-bioc@v1 - if: matrix.config.image == null + ## Set the R library to the directory matching the + ## R packages cache step further below when running on Docker (Linux). + - name: Set R Library home on Linux + if: runner.os == 'Linux' + run: | + mkdir /__w/_temp/Library + echo ".libPaths('/__w/_temp/Library')" > ~/.Rprofile + + ## Most of these steps are the same as the ones in + ## https://github.com/r-lib/actions/blob/master/examples/check-standard.yaml + ## If they update their steps, we will also need to update ours. + - name: Checkout Repository + uses: actions/checkout@v3 + + ## R is already included in the Bioconductor docker images + - name: Setup R from r-lib + if: runner.os != 'Linux' + uses: r-lib/actions/setup-r@v2 with: - bioc-version: ${{ matrix.config.bioc }} + r-version: ${{ matrix.config.r }} + http-user-agent: ${{ matrix.config.http-user-agent }} - - name: Set up pandoc + ## pandoc is already included in the Bioconductor docker images + - name: Setup pandoc from r-lib + if: runner.os != 'Linux' uses: r-lib/actions/setup-pandoc@v2 - if: matrix.config.image == null - - - name: Install remotes - run: | - install.packages('remotes') - shell: Rscript {0} - name: Query dependencies run: | - saveRDS(remotes::dev_package_deps(dependencies = TRUE, repos = c(getOption('repos'), BiocManager::repositories())), 'depends.Rds', version = 2) + install.packages('remotes') + saveRDS(remotes::dev_package_deps(dependencies = TRUE), ".github/depends.Rds", version = 2) shell: Rscript {0} - - name: Cache R packages - if: runner.os != 'Windows' && matrix.config.image == null - uses: actions/cache@v1 + - name: Restore R package cache + if: "!contains(github.event.head_commit.message, '/nocache') && runner.os != 'Linux'" + uses: actions/cache@v3 with: path: ${{ env.R_LIBS_USER }} - key: ${{ runner.os }}-bioc-${{ matrix.config.bioc }}-${{ hashFiles('depends.Rds') }} - restore-keys: ${{ runner.os }}-bioc-${{ matrix.config.bioc }}- + key: ${{ env.cache-version }}-${{ runner.os }}-biocversion-devel-r-devel-${{ hashFiles('.github/depends.Rds') }} + restore-keys: ${{ env.cache-version }}-${{ runner.os }}-biocversion-devel-r-devel- + + - name: Cache R packages on Linux + if: "!contains(github.event.head_commit.message, '/nocache') && runner.os == 'Linux' " + uses: actions/cache@v3 + with: + path: /home/runner/work/_temp/Library + key: ${{ env.cache-version }}-${{ runner.os }}-biocversion-devel-r-devel-${{ hashFiles('.github/depends.Rds') }} + restore-keys: ${{ env.cache-version }}-${{ runner.os }}-biocversion-devel-r-devel- - - name: Install system dependencies + - name: Install Linux system dependencies if: runner.os == 'Linux' - env: - RHUB_PLATFORM: linux-x86_64-ubuntu-gcc run: | - Rscript -e "remotes::install_github('r-hub/sysreqs')" - sysreqs=$(Rscript -e "cat(sysreqs::sysreq_commands('DESCRIPTION'))") + sysreqs=$(Rscript -e 'cat("apt-get update -y && apt-get install -y", paste(gsub("apt-get install -y ", "", remotes::system_requirements("ubuntu", "20.04")), collapse = " "))') + echo $sysreqs sudo -s eval "$sysreqs" - sudo apt-get update && sudo apt-get -y install libcurl4-openssl-dev libglpk-dev libharfbuzz-dev libfribidi-dev - - name: Install system dependencies (macOS) - if: runner.os == 'macOS' + - name: Install macOS system dependencies + if: matrix.config.os == 'macOS-latest' + run: | + ## Enable installing XML from source if needed + brew install libxml2 + echo "XML_CONFIG=/opt/homebrew/opt/libxml2/bin/xml2-config" >> $GITHUB_ENV + + ## Required to install magick as noted at + ## https://github.com/r-lib/usethis/commit/f1f1e0d10c1ebc75fd4c18fa7e2de4551fd9978f#diff-9bfee71065492f63457918efcd912cf2 + brew install imagemagick@6 + + ## For textshaping, required by ragg, and required by pkgdown + brew install harfbuzz fribidi + + ## For installing usethis's dependency gert + brew install libgit2 + + ## Required for tcltk + brew install xquartz --cask + + ## Required for terra + brew install gdal + + ## Temporary fix for freetype (https://github.com/r-lib/ragg/issues/170; Sep 2024) + #brew install --cask https://raw.githubusercontent.com/Homebrew/homebrew-core/d28afc3bfdb5d24eab02157bfffcc9e17ed6666c/Formula/f/freetype.rb + brew unlink freetype + curl -L https://raw.githubusercontent.com/Homebrew/homebrew-core/3db6dc6c4baf5a75e345f380cc4e8224c1ae5ae0/Formula/f/freetype.rb > freetype.rb && brew install freetype.rb + + - name: Install binary units for macOS + if: matrix.config.os == 'macOS-latest' + run: | + ## temporary fix due to issue in udunits (Sep 2024) + install.packages('https://cran.rstudio.com/bin/macosx/big-sur-arm64/contrib/4.4/units_0.8-5.tgz') + shell: Rscript {0} + + - name: Install Windows system dependencies + if: runner.os == 'Windows' + run: | + ## Edit below if you have any Windows system dependencies + shell: Rscript {0} + + - name: Install BiocManager + run: | + message(paste('****', Sys.time(), 'installing BiocManager ****')) + remotes::install_cran("BiocManager") + shell: Rscript {0} + + - name: Set BiocVersion run: | - brew install cairo - brew install --cask xquartz - brew install harfbuzz - brew install fribidi - brew install fftw + BiocManager::install(version = "${{ matrix.config.bioc }}", ask = FALSE, force = TRUE) + shell: Rscript {0} + + - name: Install dependencies pass 1 + run: | + ## Try installing the package dependencies in steps. First the local + ## dependencies, then any remaining dependencies to avoid the + ## issues described at + ## https://stat.ethz.ch/pipermail/bioc-devel/2020-April/016675.html + ## https://github.com/r-lib/remotes/issues/296 + ## Ideally, all dependencies should get installed in the first pass. + + ## Set the repos source depending on the OS + ## Alternatively use https://storage.googleapis.com/bioconductor_docker/packages/ + ## though based on https://bit.ly/bioc2021-package-binaries + ## the Azure link will be the main one going forward. + gha_repos <- if( + .Platform$OS.type == "unix" && Sys.info()["sysname"] != "Darwin" + ) c( + "AnVIL" = "https://bioconductordocker.blob.core.windows.net/packages/3.20/bioc", + BiocManager::repositories() + ) else BiocManager::repositories() + + ## For running the checks + message(paste('****', Sys.time(), 'installing rcmdcheck and BiocCheck ****')) + install.packages(c("rcmdcheck", "BiocCheck"), repos = gha_repos) - - name: Set up gfortran symlinks (macOS) - if: runner.os == 'macOS' + ## Pass #1 at installing dependencies + ## This pass uses AnVIL-powered fast binaries + ## details at https://github.com/nturaga/bioc2021-bioconductor-binaries + ## The speed gains only apply to the docker builds. + message(paste('****', Sys.time(), 'pass number 1 at installing dependencies: local dependencies ****')) + remotes::install_local(dependencies = TRUE, repos = gha_repos, build_vignettes = FALSE, upgrade = TRUE) + continue-on-error: true + shell: Rscript {0} + + - name: Install dependencies pass 2 run: | - set -x - sudo ln -s /usr/local/Cellar/gcc@8/8.4.0_2/lib/gcc/8 /usr/local/gfortran/lib - gfortran --version + ## Pass #2 at installing dependencies + ## This pass does not use AnVIL and will thus update any packages + ## that have seen been updated in Bioconductor + message(paste('****', Sys.time(), 'pass number 2 at installing dependencies: any remaining dependencies ****')) + remotes::install_local(dependencies = TRUE, repos = BiocManager::repositories(), build_vignettes = TRUE, upgrade = TRUE, force = TRUE) + shell: Rscript {0} - - name: Install dependencies + - name: Install BiocGenerics + if: env.has_RUnit == 'true' run: | - local_deps <- remotes::local_package_deps(dependencies = TRUE) - deps <- remotes::dev_package_deps(dependencies = TRUE, repos = BiocManager::repositories()) - BiocManager::install(local_deps[local_deps %in% deps$package[deps$diff != 0]], Ncpu = 2L) - remotes::install_cran('rcmdcheck', Ncpu = 2L) + ## Install BiocGenerics + BiocManager::install("BiocGenerics") + shell: Rscript {0} + + - name: Install covr + if: github.ref == 'refs/heads/devel' && env.run_covr == 'true' && runner.os == 'Linux' + run: | + remotes::install_cran("covr") + shell: Rscript {0} + + - name: Install pkgdown + if: github.ref == 'refs/heads/devel' && env.run_pkgdown == 'true' && runner.os == 'Linux' + run: | + remotes::install_cran("pkgdown") shell: Rscript {0} - name: Session info @@ -105,43 +245,79 @@ jobs: sessioninfo::session_info(pkgs, include_base = TRUE) shell: Rscript {0} - - name: Build, Install, Check - uses: grimbough/bioc-actions/build-install-check@v1 + - name: Run CMD check + env: + _R_CHECK_CRAN_INCOMING_: false + DISPLAY: 99.0 + run: | + options(crayon.enabled = TRUE) + rcmdcheck::rcmdcheck( + args = c("--no-manual", "--no-vignettes", "--timings"), + build_args = c("--no-manual", "--keep-empty-dirs", "--no-resave-data"), + error_on = "warning", + check_dir = "check" + ) + shell: Rscript {0} + + ## Might need an to add this to the if: && runner.os == 'Linux' + - name: Reveal testthat details + if: env.has_testthat == 'true' + run: find . -name testthat.Rout -exec cat '{}' ';' + + - name: Run RUnit tests + if: env.has_RUnit == 'true' + run: | + BiocGenerics:::testPackage() + shell: Rscript {0} - name: Run BiocCheck - uses: grimbough/bioc-actions/run-BiocCheck@v1 - with: - arguments: '--no-check-bioc-views --no-check-bioc-help' - error-on: 'error' + env: + DISPLAY: 99.0 + run: | + BiocCheck::BiocCheck( + dir('check', 'tar.gz$', full.names = TRUE), + `quit-with-status` = FALSE, + `no-check-R-ver` = TRUE, + `no-check-bioc-help` = TRUE + ) + shell: Rscript {0} - # - name: Upload check results - # if: failure() - # uses: actions/upload-artifact@master - # with: - # name: ${{ runner.os }}-r${{ matrix.config.r }}-results - # path: check + - name: Test coverage + if: github.ref == 'refs/heads/devel' && env.run_covr == 'true' && runner.os == 'Linux' + run: | + covr::codecov() + shell: Rscript {0} - - name: Show testthat output - if: always() - run: find check -name 'testthat.Rout*' -exec cat '{}' \; || true - shell: bash + - name: Install package + if: github.ref == 'refs/heads/devel' && env.run_pkgdown == 'true' && runner.os == 'Linux' + run: R CMD INSTALL . + + - name: Build and deploy pkgdown site + if: github.ref == 'refs/heads/devel' && env.run_pkgdown == 'true' && runner.os == 'Linux' + run: | + git config --global user.name "$GITHUB_ACTOR" + git config --global user.email "$GITHUB_ACTOR@users.noreply.github.com" + git config --global --add safe.directory /__w/imbeimainz/DeeDee + Rscript -e "pkgdown::deploy_to_branch(new_process = FALSE)" + shell: bash {0} + ## Note that you need to run pkgdown::deploy_to_branch(new_process = FALSE) + ## at least one locally before this will work. This creates the gh-pages + ## branch (erasing anything you haven't version controlled!) and + ## makes the git history recognizable by pkgdown. - name: Upload check results if: failure() uses: actions/upload-artifact@master with: - name: ${{ runner.os }}-bioc-${{ matrix.config.bioc }}-results + name: ${{ runner.os }}-biocversion-devel-r-devel-results path: check - - name: Test coverage - if: matrix.config.os == 'macOS-latest' - run: | - install.packages("covr") - covr::codecov(token = "${{secrets.CODECOV_TOKEN}}") - shell: Rscript {0} - - - name: Deploy - if: github.event_name == 'push' && github.ref == 'refs/heads/master' && matrix.config.os == 'macOS-latest' - run: | - R CMD INSTALL . - Rscript -e "remotes::install_dev('pkgdown'); pkgdown::deploy_to_branch(new_process = FALSE)" + # - uses: docker/build-push-action@v1 + # if: "!contains(github.event.head_commit.message, '/nodocker') && env.run_docker == 'true' && runner.os == 'Linux' " + # with: + # username: ${{ secrets.DOCKER_USERNAME }} + # password: ${{ secrets.DOCKER_PASSWORD }} + # repository: isee/isee + # tag_with_ref: true + # tag_with_sha: true + # tags: latest

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