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

iBBiG

Iterative Binary Biclustering of Genesets

Bioconductor version: 2.13

iBBiG is a bi-clustering algorithm which is optimizes for binary data analysis. We apply it to meta-gene set analysis of large numbers of gene expression datasets. The iterative algorithm extracts groups of phenotypes from multiple studies that are associated with similar gene sets. iBBiG does not require prior knowledge of the number or scale of clusters and allows discovery of clusters with diverse sizes

Author: Daniel Gusenleitner, Aedin Culhane

Maintainer: Aedin Culhane <aedin at jimmy.harvard.edu>

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("iBBiG")

 

PDF	R Script	iBBiG User Manual
PDF		Reference Manual

Details

biocViews	Annotation, Clustering, GeneSetEnrichment, Software
Version	1.6.0
In Bioconductor since	BioC 2.10 (R-2.15)
License	Artistic-2.0
Depends	biclust
Imports	stats4, xtable, ade4
Suggests	methods
System Requirements
URL	http://bcb.dfci.harvard.edu/~aedin/publications/
Depends On Me
Imports Me
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Package Archives

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

Package Source	iBBiG_1.6.0.tar.gz
Windows Binary	iBBiG_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	iBBiG_1.6.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats