Package: fgsea
Title: Fast Gene Set Enrichment Analysis
Version: 1.37.4
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: 1a82392
git_last_commit_date: 2026-01-01
Repository: Bioconductor 3.23
Date/Publication: 2026-01-04
NeedsCompilation: yes
Packaged: 2026-01-04 21:23:58 UTC; biocbuild
Author: Gennady Korotkevich [aut],
  Vladimir Sukhov [aut],
  Nikita Golikov [aut],
  Nikolay Budin [ctb],
  Nikita Gusak [ctb],
  Zieman Mark [ctb],
  Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>
Built: R 4.6.0; aarch64-apple-darwin20; 2026-01-05 04:26:50 UTC; unix
