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Package: combiroc
Title: Selection and Ranking of Omics Biomarkers Combinations Made Easy
Date: 2021-08-13
Version: 0.2.3
Language: en-US
Authors@R:
c(person(given = "Ivan",
family = "Ferrari",
role = "aut",
email = "ferrari@ingm.org",
comment = c(ORCID = "0000-0003-3746-4143")),
person(given = "Riccardo L.",
family = "Rossi",
role = c("aut", "cre"),
email = "ric.rossi@gmail.com",
comment = c(ORCID = "0000-0002-4964-3264")),
person(given = "Saveria",
family = "Mazzara",
role = "aut",
email = "saveria.mazzara@gmail.com",
comment = c(ORCID = "0000-0003-1799-2360")),
person(given = "Mauro",
family = "Bombaci",
role = c("ccp", "ctb", "dtc"),
email = "bombaci@ingm.org",
comment = c(ORCID = "0000-0002-9887-4165")))
Description: Provides functions and a workflow to easily and powerfully calculating specificity, sensitivity and ROC curves of biomarkers combinations. Allows to rank and select multi-markers signatures as well as to find the best performing sub-signatures. The method used was first published as a Shiny app and described in Mazzara et al. (2017) <doi:10.1038/srep45477> and further described in Bombaci & Rossi (2019) <doi:10.1007/978-1-4939-9164-8_16>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Imports:
tidyr,
dplyr,
ggplot2,
gtools,
pROC,
stringr,
stats,
utils,
moments,
devtools
Suggests:
testthat (>= 3.0.0),
knitr,
markdown,
rmarkdown,
covr
VignetteBuilder: knitr
Depends:
R (>= 2.10)
URL: https://github.com/ingmbioinfo/combiroc
BugReports: https://github.com/ingmbioinfo/combiroc/issues
Config/testthat/edition: 3