Package: fgsea
Title: Fast Gene Set Enrichment Analysis
Version: 1.14.0
Authors@R: c(person("Gennady", "Korotkevich", role = "aut"),
             person("Vladimir", "Sukhov", role = "aut"),
			 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
SystemRequirements: C++11
Depends: R (>= 3.3)
Imports: Rcpp, data.table, BiocParallel, stats, ggplot2 (>= 2.2.0),
        gridExtra, grid, fastmatch, Matrix, utils
Suggests: testthat, knitr, rmarkdown, reactome.db, AnnotationDbi,
        parallel, org.Mm.eg.db, limma, GEOquery
License: MIT + file LICENCE
LazyData: true
LinkingTo: Rcpp, BH
RoxygenNote: 7.0.2
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/ctlab/fgsea/
BugReports: https://github.com/ctlab/fgsea/issues
git_url: https://git.bioconductor.org/packages/fgsea
git_branch: RELEASE_3_11
git_last_commit: 6389c58
git_last_commit_date: 2020-04-27
Date/Publication: 2020-04-27
NeedsCompilation: yes
Packaged: 2020-04-28 02:29:36 UTC; biocbuild
Author: Gennady Korotkevich [aut],
  Vladimir Sukhov [aut],
  Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>
Built: R 4.0.0; x86_64-apple-darwin13.4.0; 2020-05-09 07:51:51 UTC; unix
