Package: fgsea
Title: Fast Gene Set Enrichment Analysis
Version: 1.37.2
Authors@R: c(person("Gennady", "Korotkevich", role = "aut"),
             person("Vladimir", "Sukhov", role = "aut"),
             person("Nikita", "Golikov", role = "aut"),
             person("Nikolay", "Budin", role = "ctb"),
             person("Nikita", "Gusak", role = "ctb"),
             person("Zieman", "Mark", role = "ctb"),
			 person("Alexey", "Sergushichev", email = "alsergbox@gmail.com", role = c("aut", "cre")))
Description: The package implements an algorithm for fast gene set enrichment
    analysis. Using the fast algorithm allows to make more permutations and get
    more fine grained p-values, which allows to use accurate stantard approaches to
    multiple hypothesis correction.
biocViews: GeneExpression, DifferentialExpression, GeneSetEnrichment, Pathways
Depends:
    R (>= 4.1)
Imports:
    Rcpp,
    data.table,
    BiocParallel,
    stats,
    ggplot2 (>= 2.2.0),
    cowplot,
    grid,
    fastmatch,
    Matrix,
    scales,
    utils
Suggests:
    testthat,
    knitr,
    rmarkdown,
    reactome.db,
    AnnotationDbi,
    parallel,
    org.Mm.eg.db,
    limma,
    GEOquery,
    msigdbr,
    aggregation,
    Seurat
License: MIT + file LICENCE
LazyData: true
LinkingTo: Rcpp, BH
RoxygenNote: 7.3.3
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/alserglab/fgsea/
BugReports: https://github.com/alserglab/fgsea/issues
git_url: https://git.bioconductor.org/packages/fgsea
git_branch: devel
git_last_commit: 4fd674d
git_last_commit_date: 2025-12-04
Repository: Bioconductor 3.23
