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A density-based automated gating pipeline for flow cytometry data to characterize the lineage, differentiation, and functional states of T-cells

This GitHub stores the {staRgate} R package.

Installation

The {staRgate} package relies on a few Biocondcutor R packages. Before installing {staRgate}, first setup Bioconductor and install all packages.

  • {flowCore} and {flowWorkspace} are dependencies for the {staRgate} package
  • {openCyto}, {flowAI}, {ggcyto} are not required to run the functions of {staRgate} but are used in the full gating pipeline as shown in the Tutorial

Please refer to Bioconductor for full details on installation guidelines

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

To install staRgate (currently install from GitHub):

devtools::install_github("leejasme/staRgate")

Tutorial

A full example on how to run the pipeline is on the webpage

Contact

Jasme Lee ()