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Analysis of an ICA decomposition obtained on genomics data

Bioconductor version: Release (3.1)

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.

Author: Anne Biton

Maintainer: Anne Biton <anne.biton at>

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PDF R Script MineICA: Independent component analysis of genomic data
PDF   Reference Manual


biocViews MultipleComparison, Software, Visualization
Version 1.8.0
In Bioconductor since BioC 2.12 (R-3.0) (2.5 years)
License GPL-2
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
Imports AnnotationDbi, lumi, fpc, lumiHumanAll.db
Suggests biomaRt, GOstats, cluster, hgu133a.db, mclust, igraph, breastCancerMAINZ, breastCancerTRANSBIG, breastCancerUPP, breastCancerVDX
Enhances doMC
Depends On Me
Imports Me
Suggests Me
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