Package: GSVA
Version: 1.2.4
Date: 2011-11-16
Title: Gene Set Variation Analysis
Author: Justin Guinney <justin.guinney@sagebase.org> (with contributions from Robert Castelo <robert.castelo@upf.edu> and Sonja Haenzelmann <shanzelmann@imim.es)
Maintainer: Justin Guinney <justin.guinney@sagebase.org>
Depends: R (>= 2.13.0), methods
Imports: methods, Biobase, GSEABase
Enhances: snow, multicore
Suggests: limma, qpgraph, graph, Rgraphviz, RColorBrewer, genefilter,
        GSVAdata
SystemRequirements: GNU Scientific Library >= 1.12
Description: 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. Users on all platforms must install the GNU Scientific Library; see the README file, available in the source distribution of this file, for details.
License: GPL (>= 2)
LazyLoad: yes
biocViews: Bioinformatics, Microarray, Pathways
URL: http://www.sagebase.org
Packaged: 2011-12-17 08:22:54 UTC; biocbuild
Built: R 2.14.0; i386-pc-mingw32; 2011-12-17 12:18:18 UTC; windows
Archs: i386, x64
