Package: mgsa
Version: 1.58.0
Date: 2021-05-16
Title: Model-based gene set analysis
Author: Sebastian Bauer <mail@sebastianbauer.info>, Julien Gagneur
    <gagneur@genzentrum.lmu.de>
Maintainer: Sebastian Bauer <mail@sebastianbauer.info>
Depends: R (>= 2.14.0), methods, gplots
Imports: graphics, stats, utils
Suggests: DBI, RSQLite, GO.db, testthat
Description: Model-based Gene Set Analysis (MGSA) is a Bayesian
    modeling approach for gene set enrichment. The package mgsa
    implements MGSA and tools to use MGSA together with the Gene
    Ontology.
License: Artistic-2.0
URL: https://github.com/sba1/mgsa-bioc
biocViews: Pathways, GO, GeneSetEnrichment
LazyLoad: yes
Collate: 'dottedTable.R' 'MgsaSets-class.R' 'MgsaGoSets-class.R'
        'MgsaResults-class.R' 'mgsa-methods.R' 'mgsa-package.R' 'zzz.R'
git_url: https://git.bioconductor.org/packages/mgsa
git_branch: RELEASE_3_22
git_last_commit: b056a17
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.22
Date/Publication: 2025-10-29
NeedsCompilation: yes
Packaged: 2025-10-30 03:25:38 UTC; biocbuild
Built: R 4.5.1; aarch64-apple-darwin20; 2025-10-30 09:31:13 UTC; unix
