Ubuntu
r-bioc-gsva package

r-bioc-gsva 1.40.1+ds-1 source package in Ubuntu

Changelog

r-bioc-gsva (1.40.1+ds-1) unstable; urgency=medium

  [ Andreas Tille ]
  * Team upload.
  * New upstream version
  * Standards-Version: 4.6.0 (routine-update)
  * dh-update-R to update Build-Depends (3) (routine-update)
  * Set upstream metadata fields: Bug-Database, Bug-Submit, Repository,
    Repository-Browse.

  [ Nilesh Patra ]
  * d/copyright: Repack html
  * New upstream version 1.40.1+ds

 -- Nilesh Patra <email address hidden>  Sun, 12 Sep 2021 18:53:45 +0530

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_1.40.1+ds-1.dsc 2.3 KiB 7b78ac455ac039f6bbb48a326f40ed385c614e9e35593b028d195788bdf813cf
r-bioc-gsva_1.40.1+ds.orig.tar.xz 1.2 MiB 55eca750e684bebd7f9d7403a3c7f1e5bddb98d17c122094e90ae26a01fee2ec
r-bioc-gsva_1.40.1+ds-1.debian.tar.xz 3.1 KiB 0d99f4d95e883474e8e4788ec7d541d48f2396742bc8bdd5e8c67080c978885a

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