r-bioc-gsva 1.50.0+ds-1 source package in Ubuntu

Changelog

r-bioc-gsva (1.50.0+ds-1) unstable; urgency=medium

  * Team upload.
  * New upstream version

 -- Andreas Tille <email address hidden>  Fri, 01 Dec 2023 07:42:42 +0100

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
Oracular release universe misc
Noble release universe misc

Downloads

File Size SHA-256 Checksum
r-bioc-gsva_1.50.0+ds-1.dsc 2.3 KiB 3a9d90c5dd234bc0c353d487ea0a3e6b2ac33fb7cfba8b009c7268d68207ab73
r-bioc-gsva_1.50.0+ds.orig.tar.xz 1.2 MiB 7733ce87e3e222b3271e0e40ef503bd8225acbdbaac2051c72328946ce9c9dee
r-bioc-gsva_1.50.0+ds-1.debian.tar.xz 3.8 KiB 86e059567204ab4519854faf7c4d4407a330fe7e460a814d4f8be7189de2815a

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