MineICA

Analysis of an ICA decomposition obtained on genomics data

Bioconductor version: Release (2.12)

The goal of MineICA is to make easier the interpretation of the interpretation of a decomposition obtained by Independent Component Analysis on transcriptomic data. It 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 gmail.com>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("MineICA")

To cite this package in a publication, start R and enter:

    citation("MineICA")

Documentation

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

Details

biocViews	Software
Version	1.0.0
In Bioconductor since	BioC 2.13 (R-2.18)
License	GPL-2
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
Imports	AnnotationDbi, lumi, fpc, lumiHumanAll.db
Suggests	biomaRt, GOstats, cluster, hgu133a.db, mclust, igraph, breastCancerMAINZ, breastCancerTRANSBIG, breastCancerUPP, breastCancerVDX
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source	MineICA_1.0.0.tar.gz
Windows Binary	MineICA_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	MineICA_1.0.0.tgz
Package Downloads Report	Download Stats

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