r-bioc-gsva 1.42.0+ds-1 source package in Ubuntu
Changelog
r-bioc-gsva (1.42.0+ds-1) unstable; urgency=medium * Team upload. * New upstream version -- Andreas Tille <email address hidden> Fri, 26 Nov 2021 08:17:10 +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 | Published | Component | Section | |
|---|---|---|---|---|
| Jammy | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-bioc-gsva_1.42.0+ds-1.dsc | 2.3 KiB | 8b9fc031695c4599ba6053d0d5d42f25c300d74a893da74b20c796d7c09f67fa |
| r-bioc-gsva_1.42.0+ds.orig.tar.xz | 1.2 MiB | 2222499c2eb82fab8c90ec8d225cb5bf471241bd98a4ba22c5458885abd6fd98 |
| r-bioc-gsva_1.42.0+ds-1.debian.tar.xz | 3.1 KiB | 141d0040c29e34da6b03bc70a1744da689e851bfc94cc9d67dacf75ff6af1d8c |
Available diffs
- diff from 1.40.1+ds-1 to 1.42.0+ds-1 (1.3 KiB)
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
