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

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.

Single cell classification and feature engineering using DREMI scores

Analysis and visualisation single-cell proteomic data (CyTOF)

HDStIM: High Dimensional Stimulation Immune Mapping

Interactive flow & mass cytometry (CyTOF) gating app in R/Shiny, operating on SingleCellExperiment objects — with FCS import, fluorescence compensation, and Gating-ML round-trip

Profilling of Peripheral Blood Mononuclear Cells using CyTOF

Fast auto-cleanup of CyTOF data

R package to remove unwanted covariance from mass cytometry data

A Python pipeline for CyTOF data analyses

Plots log histograms of FCS files like CyTOF's PlotViewer program