To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

iBBiG

 

Iterative Binary Biclustering of Genesets

Bioconductor version: Release (3.1)

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>

Citation (from within R, enter citation("iBBiG")):

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 1.12.0
In Bioconductor since BioC 2.10 (R-2.15) (3.5 years)
License Artistic-2.0
Depends biclust
Imports stats4, xtable, ade4
LinkingTo
Suggests methods
SystemRequirements
Enhances
URL http://bcb.dfci.harvard.edu/~aedin/publications/
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source iBBiG_1.12.0.tar.gz
Windows Binary iBBiG_1.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) iBBiG_1.12.0.tgz
Mac OS X 10.9 (Mavericks) iBBiG_1.12.0.tgz
Subversion source (username/password: readonly)
GitHub source https://github.com/Bioconductor-mirror/iBBiG/tree/release-3.1
Package Short Url http://bioconductor.org/packages/iBBiG/
Package Downloads Report Download Stats

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