Easily install and load packages from the tidyomics ecosystem

Fast embedding ot multidimensional datasets, great for cytometry data

An R package for analyzing high-dimensional cytometry data using the tidyverse.

SuperCell for Cytometry data

Code and results from TotalSeqC antibody titration and pipeline benchmarking for CITE-seq experiments

Integration of multi-batch cytometry datasets

Temporal clustering and tracking algorithm which fuses on FlowSOM and ChronoClust, specifically designed for analysing temporal cytometry data

Tools for Imaging Flow Cytometry

An R Interactive Shiny Application for the Analysis of Imaging and Conventional Flow Cytometry

An R package to apply Batch Normalization to cytometry

HDStIM: High Dimensional Stimulation Immune Mapping

PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.

Data for Imaging Flow Cytometry

The multi-sample Gaussian mixture model (MSGMM) is a clustering model adapted to fitting multiple samples simultaneously using the EM algorithm.

Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation

R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data

R script for summarising paramater / channel intensity from flow or mass cytometry data

R scripts to help with your flow cytometry analysis. Batch index export and overlays

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

HIPC Cytometry