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

MineICA

Analysis of an ICA decomposition obtained on genomics data

Bioconductor version: 2.13

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 gmail.com>

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MineICA")

 

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

Details

biocViews	Software
Version	1.2.2
In Bioconductor since	BioC 2.12 (R-3.0)
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
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Package Archives

Follow Installation instructions to use this package in your R session.

Package Source	MineICA_1.2.2.tar.gz
Windows Binary	MineICA_1.2.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	MineICA_1.2.2.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats