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Iterative Binary Biclustering of Genesets

Bioconductor version: Release (3.19)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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

iBBiG User Manual PDF R Script
Reference Manual PDF


biocViews Annotation, Clustering, GeneSetEnrichment, Software
Version 1.48.0
In Bioconductor since BioC 2.10 (R-2.15) (12.5 years)
License Artistic-2.0
Depends biclust
Imports stats4, xtable, ade4
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Source Package iBBiG_1.48.0.tar.gz
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