Bayesian mixed-effect model to test differences in cell type proportions from single-cell data, in R
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Updated
Sep 8, 2026 - R
Bayesian mixed-effect model to test differences in cell type proportions from single-cell data, in R
R package for pre-processing of mass and flow cytometry data
R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
Huge-scale, high-performance flow cytometry clustering in Julia
Official implementation of GateNet
R package for interactive visualization and analysis of single-cell data
Integration of multi-batch cytometry datasets
Accurate and Efficient Simulation of CyTOF data
Plain-text, git-tracked lab notebook for reproducible bioinformatics — keeps figures in your Markdown notes in sync with the R & Python code that made them, and re-renders them headlessly from the notebook itself. Built for single-cell / CyTOF / flow cytometry; works with Obsidian, Quarto & Jupyter.
Pipeline for analysing and visualising CyTOF datasets, with a focus on PTM signalling networks.
A Python package for dimension reduction and evaluation workflows with CyTOF data.
Interactive flow and mass cytometry gating in R/Shiny on SingleCellExperiment objects, with Gating-ML round-trip. Browser version (no R): github.com/david-priest/GateLab
Single cell classification and feature engineering using DREMI scores
Analysis and visualisation single-cell proteomic data (CyTOF)
HDStIM: High Dimensional Stimulation Immune Mapping
Browser-based flow and mass cytometry gating app — FCS import/export, interactive population trees, Gating-ML, statistics and publication-ready figures.
Profilling of Peripheral Blood Mononuclear Cells using CyTOF
Fast auto-cleanup of CyTOF data
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