Package: GSVA <<<<<<< HEAD Version: 1.39.24 ======= Version: 1.39.23 >>>>>>> modules in shinyApp Title: Gene Set Variation Analysis for microarray and RNA-seq data Authors@R: c(person("Justin", "Guinney", role=c("aut", "cre"), email="justin.guinney@sagebase.org"), person("Robert", "Castelo", role="aut", email="robert.castelo@upf.edu"), person("Alexey", "Sergushichev", role="ctb", email="alsergbox@gmail.com"), person("Pablo Sebastian", "Rodriguez", role="ctb", email="pablosebastian.rodriguez@upf.edu")) Depends: R (>= 3.5.0) Imports: methods, stats, utils, graphics, S4Vectors, IRanges, Biobase, SummarizedExperiment, GSEABase, Matrix, parallel, BiocParallel, SingleCellExperiment, sparseMatrixStats, DelayedArray, DelayedMatrixStats, HDF5Array, BiocSingular <<<<<<< HEAD <<<<<<< HEAD Suggests: BiocGenerics, RUnit, BiocStyle, knitr, rmarkdown, limma, RColorBrewer, org.Hs.eg.db, genefilter, edgeR, GSVAdata, shiny, shinythemes, ggplot2, data.table, plotly ======= Suggests: BiocGenerics, RUnit, BiocStyle, knitr, markdown, limma, RColorBrewer, ======= Suggests: BiocGenerics, RUnit, BiocStyle, knitr, rmarkdown, limma, RColorBrewer, >>>>>>> modified imports in igsva() genefilter, edgeR, GSVAdata, shiny, shinythemes, ggplot2, data.table, <<<<<<< HEAD plotly, shinyjs, future, promises, shinybusy >>>>>>> modules in shinyApp ======= plotly, shinyjs, future, promises, shinybusy, org.Hs.eg.db >>>>>>> hide dwn and close btns Description: Gene Set Variation Analysis (GSVA) is a non-parametric, unsupervised method for estimating variation of gene set enrichment through the samples of a expression data set. GSVA performs a change in coordinate systems, transforming the data from a gene by sample matrix to a gene-set by sample matrix, thereby allowing the evaluation of pathway enrichment for each sample. This new matrix of GSVA enrichment scores facilitates applying standard analytical methods like functional enrichment, survival analysis, clustering, CNV-pathway analysis or cross-tissue pathway analysis, in a pathway-centric manner. License: GPL (>= 2) VignetteBuilder: knitr URL: https://github.com/rcastelo/GSVA BugReports: https://github.com/rcastelo/GSVA/issues Encoding: latin1 biocViews: FunctionalGenomics, Microarray, RNASeq, Pathways, GeneSetEnrichment