Iterative Binary Biclustering of Genesets

Bioconductor version: 2.10

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>

To install this package, start R and enter:


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



PDF R Script iBBiG User Manual
PDF   Reference Manual


biocViews Bioinformatics, Clustering,Annotation, Software
Depends biclust
Imports stats4,xtable,ade4
Suggests methods
System Requirements
License Artistic-2.0
URL http://bcb.dfci.harvard.edu/~aedin/publications/
Depends On Me
Imports Me
Suggests Me
Version 1.0.2
Since Bioconductor 2.10 (R-2.15)

Package Downloads

Package Source iBBiG_1.0.2.tar.gz
Windows Binary iBBiG_1.0.2.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary iBBiG_1.0.2.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:


Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center