r-bioc-gsva 1.50.0+ds-1 (ppc64el binary) in ubuntu noble
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.
Details
- Package version:
- 1.50.0+ds-1
- Status:
- Published
- Component:
- universe
- Priority:
- Optional
Downloadable files
ppc64el build of r-bioc-gsva 1.50.0+ds-1 in ubuntu noble PROPOSED produced
these files:
- r-bioc-gsva_1.50.0+ds-1_ppc64el.deb (1.0 MiB)
Package relationships
- Depends on:
- libc6 (>= 2.17)
- r-api-4.0
- r-api-bioc-3.18
- r-bioc-biobase
- r-bioc-biocparallel
- r-bioc-biocsingular
- r-bioc-delayedarray
- r-bioc-delayedmatrixstats
- r-bioc-gseabase
- r-bioc-hdf5array
- r-bioc-iranges
- r-bioc-s4vectors
- r-bioc-singlecellexperiment
- r-bioc-sparsematrixstats
- r-bioc-summarizedexperiment
- r-cran-matrix (>= 1.5-0)
- Recommends: