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 (leej22@mskcc.org)