staRgate

Automated gating pipeline for flow cytometry analysis to characterize the lineage, differentiation, and functional states of T-cells

Bioconductor version: 3.23 · Package version: 1.0.0

An R-based automated gating pipeline for flow cytometry data designed to mimic the manual gating strategy of defining flow biomarker positive populations relative to a unimodal background population to include cells with varying intensities of marker expression. The pipeline’s main feature is a flexible density-based gating strategy capable of capturing varying scenarios based on marker expression patterns to analyze a 29-marker flow panel that characterizes T-cell lineage, differentiation, and functional states.

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("staRgate")