Ubuntu
r-bioc-gsva package

r-bioc-gsva 1.44.1+ds-1 source package in Ubuntu

Changelog

r-bioc-gsva (1.44.1+ds-1) unstable; urgency=medium

  * Team upload.
  * New upstream version

 -- Andreas Tille <email address hidden>  Thu, 02 Jun 2022 19:59:21 +0200

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
r-bioc-gsva_1.44.1+ds-1.dsc 2.3 KiB 6a8af917023fed0b0092414a2bf9727e752e9c69d50f540d8fc2147a9bca4a41
r-bioc-gsva_1.44.1+ds.orig.tar.xz 1.2 MiB 9b263814753ecf7ac565a8f5cba56d56a1a01b95caded3b11e8b01f4b48cc480
r-bioc-gsva_1.44.1+ds-1.debian.tar.xz 3.2 KiB e565aec55f9a263e5daec5c1de9d81a2be27807cb9b4fc3ca32c52b033253a0f

Available diffs

No changes file available.

Binary packages built by this source

r-bioc-gsva: 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.

r-bioc-gsva-dbgsym: debug symbols for r-bioc-gsva