Package: GSABenchmark
Type: Package
Title: Tools for benchmarking single-cell gene set analysis methods
Version: 0.99.8
Authors@R: person('Andrei-Florian', 'Stoica', 
    email='andreistoica@foxmail.com',
    role=c('aut','cre'),
    comment=c(ORCID='0000-0002-5253-0826'))
Description: GSABenchmark is a package designed for benchmarking
        scRNA-seq gene set analysis (scGSA) methods. It provides both
        traditional and novel benchmark metrics, as well as
        visualization tools. Currently, GSABenchmark supports 17 scGSA
        methods.
License: MIT + file LICENSE
Imports: abdiv, CSOA, decoupleR, dplyr, escape, fabR, ggplot2, ggrepel,
        GSVA, hammers, henna, jaccard, lsa, Matrix, MLmetrics, methods,
        mltools, pagoda2, paletteer, reshape2, rlang, scLang,
        singscore, SiPSiC, stringr, stats, VAM, withr
Encoding: UTF-8
RoxygenNote: 7.3.3
Suggests: AUCell, BiocStyle, knitr, qs2, ranger, rmarkdown, rpart,
        scater, scRNAseq, scuttle, Seurat, testthat (>= 3.0.0), UCell
biocViews: Software, SingleCell, GeneSetEnrichment, GeneExpression,
        Visualization
VignetteBuilder: knitr
URL: https://github.com/andrei-stoica26/GSABenchmark
BugReports: https://github.com/andrei-stoica26/GSABenchmark/issues
Config/testthat/edition: 3
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev git
        libglpk-dev make libmagick++-dev gsfonts libgit2-dev libicu-dev
        libpng-dev libuv1-dev libxml2-dev libssl-dev python3 libx11-dev
        zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-22 06:26:59 UTC
RemoteUrl: https://github.com/bioc/GSABenchmark
RemoteRef: HEAD
RemoteSha: 5e9ba3e3d5a4adac7d97c010c0de03d837a1e3a5
NeedsCompilation: no
Packaged: 2026-04-23 05:06:37 UTC; root
Author: Andrei-Florian Stoica [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5253-0826>)
Maintainer: Andrei-Florian Stoica <andreistoica@foxmail.com>
Built: R 4.6.0; ; 2026-04-23 05:15:25 UTC; windows
