DESCRIPTION
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 Package: MineICA
 Type: Package
 Title: Analysis of an ICA decomposition obtained on genomics data
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 Version: 1.18.0
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 Date: 2012-03-16
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 Author: Anne Biton
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 Maintainer: Anne Biton <anne.biton@gmail.com>
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 Description: The goal of MineICA is to perform Independent Component
         Analysis (ICA) on multiple transcriptome datasets, integrating
         additional data (e.g molecular, clinical and pathological).
         This Integrative ICA helps the biological interpretation of the
         components by studying their association with variables (e.g
         sample annotations) and gene sets, and enables the comparison
         of components from different datasets using correlation-based
         graph.
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 License: GPL-2
 LazyLoad: yes
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 Depends: R (>= 2.10), methods, BiocGenerics (>= 0.13.8), Biobase, plyr,
         ggplot2, scales, foreach, xtable, biomaRt, gtools, GOstats, cluster,
         marray, mclust, RColorBrewer, colorspace, igraph, Rgraphviz, graph,
         annotate, Hmisc, fastICA, JADE
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 Imports: AnnotationDbi, lumi, fpc, lumiHumanAll.db
 Suggests: biomaRt, GOstats, cluster, hgu133a.db, mclust, igraph,
         breastCancerMAINZ, breastCancerTRANSBIG, breastCancerUPP,
         breastCancerVDX
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 Enhances: doMC
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 Collate: 'AllClasses.R' 'AllGeneric.R' 'methods-IcaSet.R'
         'methods-MineICAParams.R' 'compareAnalysis.R'
         'functions_comp2annot.R' 'functions_comp2annottests.R'
         'functions_enrich.R' 'functions.R' 'heatmap.plus.R'
         'heatmapsOnSel.R' 'runAn.R' 'compareGenes.R'
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 biocViews: Visualization, MultipleComparison