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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

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.staRgate

Installation

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

BiocManager::install("staRgate")

Details

MaintainerJasme Lee <leej22@mskcc.org>
AuthorJasme Lee [aut, cre] (ORCID: <https://orcid.org/0009-0006-4492-4872>), Matthew Adamow [aut], Colleen Maher [aut], Xiyu Peng [aut], Phillip Wong [aut], Fiona Ehrich [aut], Michael A Postow [aut], Margaret K Callahan [aut], Ronglai Shen [aut], Katherine S Panageas [aut], V foundation [fnd], MSK-MIND [fnd], NIH R01CA276286 [fnd], NIH P30CA008748 [fnd]
LicenseMIT + file LICENSE
URLhttps://bioconductor.org/packages/staRgate, https://leejasme.github.io/staRgate
Bug Reportshttps://github.com/leejasme/staRgate/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsFlowCytometry, ImmunoOncology, Preprocessing, Software
Package Short Url https://bioconductor.org/packages/staRgate/

Citation

From within R, enter citation("staRgate"):

Jasme Lee, Matthew Adamow, Colleen Maher, Xiyu Peng, Phillip Wong, Fiona Ehrich, Michael A Postow, Margaret K Callahan, Ronglai Shen, Katherine S Panageas. staRgate: Automated gating pipeline for flow cytometry analysis to characterize the lineage, differentiation, and functional states of T-cells. doi:10.18129/B9.bioc.staRgate, R package version 1.0.0, https://bioconductor.org/packages/staRgate.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagestaRgate_1.0.0.tar.gz
Windows binary (x86_64)staRgate_1.0.0.zip
macOS binary (arm64)staRgate_1.0.0.tgz
macOS binary (x86_64)staRgate_1.0.0.tgz
Dependencies

Depends: R (>= 4.3.0)

Imports: dplyr, janitor, purrr, rlang, stringr, tidyr, flowCore, flowWorkspace, glue, tibble

Suggests: flowAI, ggplot2, gt, knitr, openCyto, ggcyto, rmarkdown, data.table, here, testthat (>= 3.0.0), BiocStyle