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[ Source: r-bioc-gsva  ]

Package: r-bioc-gsva (1.46.0+ds-1)

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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.

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Architecture Package Size Installed Size Files
amd64 781.2 kB912.0 kB [list of files]
arm64 786.6 kB964.0 kB [list of files]
armel 782.3 kB963.0 kB [list of files]
armhf 780.7 kB963.0 kB [list of files]
i386 781.3 kB911.0 kB [list of files]
mips64el 788.0 kB964.0 kB [list of files]
mipsel 781.2 kB963.0 kB [list of files]
ppc64el 782.4 kB964.0 kB [list of files]
s390x 781.0 kB908.0 kB [list of files]