Package: MineICA
Type: Package
Title: Analysis of an ICA decomposition obtained on genomics data
Version: 1.2.1
Date: 2012-03-16
Author: Anne Biton
Maintainer: Anne Biton <anne.biton@gmail.com>
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.
License: GPL-2
LazyLoad: yes
BiocViews: Bioinformatics, Visualizations, MultipleComparisons
Imports:
    AnnotationDbi,
    lumi,
    fpc,
    lumiHumanAll.db
Depends:
    R (>= 2.10),
    Biobase,
    plyr,
    ggplot2,
    scales,
    foreach,
    xtable,
    biomaRt,
    gtools,
    GOstats,
    cluster,
    marray,
    mclust,
    RColorBrewer,
    colorspace,
    igraph,
    Rgraphviz,
    graph,
    annotate,
    Hmisc,
    fastICA,
    JADE,
    methods
Suggests:
    biomaRt,
    GOstats,
    cluster,
    hgu133a.db,
    mclust,
    igraph,
    breastCancerMAINZ,
    breastCancerTRANSBIG,
    breastCancerUPP,
    breastCancerVDX
Enhances: doMC
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'