Package: CoGAPS Version: 3.33.0 Date: 2025-03-11 Title: Coordinated Gene Activity in Pattern Sets Author: Jeanette Johnson, Ashley Tsang, Jacob Mitchell, Thomas Sherman, Wai-shing Lee, Conor Kelton, Ondrej Maxian, Jacob Carey, Genevieve Stein-O'Brien, Michael Considine, Maggie Wodicka, John Stansfield, Shawn Sivy, Carlo Colantuoni, Alexander Favorov, Mike Ochs, Elana Fertig Description: Coordinated Gene Activity in Pattern Sets (CoGAPS) implements a Bayesian MCMC matrix factorization algorithm, GAPS, and links it to gene set statistic methods to infer biological process activity. It can be used to perform sparse matrix factorization on any data, and when this data represents biomolecules, to do gene set analysis. Maintainer: Elana J. Fertig , Thomas D. Sherman , Jeanette Johnson , Dmitrijs Lvovs Depends: R (>= 3.5.0) Imports: BiocParallel, cluster, methods, gplots, graphics, grDevices, RColorBrewer, Rcpp, S4Vectors, SingleCellExperiment, stats, SummarizedExperiment, tools, utils, rhdf5, dplyr, fgsea, forcats, ggplot2 Suggests: testthat, knitr, rmarkdown, BiocStyle, SeuratObject, BiocFileCache, xml2 LinkingTo: Rcpp, BH, testthat VignetteBuilder: knitr LazyLoad: true License: BSD_3_clause + file LICENSE biocViews: GeneExpression, Transcription, GeneSetEnrichment, DifferentialExpression, Bayesian, Clustering, TimeCourse, RNASeq, Microarray, MultipleComparison, DimensionReduction, ImmunoOncology NeedsCompilation: yes RoxygenNote: 7.3.2 Encoding: UTF-8 Collate: 'class-CogapsParams.R' 'CoGAPS.R' 'DistributedCogaps.R' 'HelperFunctions.R' 'Package.R' 'RcppExports.R' 'SubsetData.R' 'class-CogapsResult.R' 'data.R' 'methods-CogapsParams.R' 'methods-CogapsResult.R' Config/pak/sysreqs: cmake make libuv1-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:34:45 UTC RemoteUrl: https://github.com/bioc/CoGAPS RemoteRef: HEAD RemoteSha: 6af7041f62f90d208b2644e6606fcd76322288b7 Packaged: 2026-06-23 20:17:48 UTC; root