Package: staRgate
Title: Automated gating pipeline for flow cytometry analysis to
        characterize the lineage, differentiation, and functional
        states of T-cells
Version: 0.99.4
Authors@R: 
    person("Jasme", "Lee", email = "leej22@mskcc.org", role = c("aut", "cre"),
    comment = c(ORCID = "0009-0006-4492-4872"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
biocViews: FlowCytometry, Preprocessing, ImmunoOncology
Depends: R (>= 4.5.0)
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
VignetteBuilder: knitr
BugReports: https://github.com/leejasme/staRgate/issues
URL: https://leejasme.github.io/staRgate/,
        https://github.com/leejasme/staRgate
Config/testthat/edition: 3
git_url: https://git.bioconductor.org/packages/staRgate
git_branch: devel
git_last_commit: 77dbdc4
git_last_commit_date: 2025-11-19
Repository: Bioconductor 3.23
Date/Publication: 2026-01-13
NeedsCompilation: no
Packaged: 2026-01-13 22:51:06 UTC; biocbuild
Author: Jasme Lee [aut, cre] (ORCID: <https://orcid.org/0009-0006-4492-4872>)
Maintainer: Jasme Lee <leej22@mskcc.org>
Built: R 4.6.0; ; 2026-01-14 05:26:27 UTC; unix
