deb_control_files:
- control
- md5sums
deb_fields:
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.19, r-bioc-s4vectors (>= 0.42.1), r-bioc-iranges
(>= 2.38.1), r-bioc-biobase (>= 2.64.0), r-bioc-summarizedexperiment (>= 1.34.0),
r-bioc-gseabase (>= 1.66.0), r-cran-matrix (>= 1.5-0), r-bioc-biocparallel (>=
1.38.0), r-bioc-singlecellexperiment (>= 1.26.0), r-bioc-spatialexperiment (>=
1.14.0), r-bioc-sparsematrixstats (>= 1.16.0), r-bioc-delayedarray (>= 0.30.1),
r-bioc-delayedmatrixstats (>= 1.26.0), r-bioc-hdf5array (>= 1.32.0), r-bioc-biocsingular
(>= 1.20.0), libc6 (>= 2.4)
Description: |-
Gene Set Variation Analysis for microarray and RNA-seq data
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.
Homepage: https://bioconductor.org/packages/GSVA/
Installed-Size: '1314'
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Package: r-bioc-gsva
Priority: optional
Section: gnu-r
Suggests: r-bioc-biocgenerics (>= 0.50.0), r-cran-runit, r-bioc-biocstyle (>= 2.32.1),
r-cran-knitr, r-cran-rmarkdown, r-bioc-limma (>= 3.60.3), r-cran-rcolorbrewer,
r-bioc-org.hs.eg.db (>= 3.19.1-1), r-bioc-genefilter (>= 1.86.0), r-bioc-edger
(>= 4.2.0), r-bioc-gsvadata (>= 1.40.0), r-cran-shiny, r-cran-shinydashboard,
r-cran-ggplot2, r-cran-data.table, r-cran-plotly, r-cran-future, r-cran-promises,
r-cran-shinyjs
Version: 1.52.3+ds-1
srcpkg_name: r-bioc-gsva
srcpkg_version: 1.52.3+ds-1