Package: GSVA
Version: 1.0.1
Date: 2011-04-12
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: 2011-05-07 07:49:32 UTC; biocbuild
Built: R 2.13.0; universal-apple-darwin9.8.0; 2011-05-07 13:15:22 UTC; unix
Archs: i386, ppc, x86_64
