Iterative Binary Biclustering of Genesets

Bioconductor version: Release (2.11)

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>

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PDF R Script iBBiG User Manual
PDF   Reference Manual


biocViews Annotation, Clustering, GeneSetEnrichment, Software
Version 1.2.0
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
Suggests Me

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Package Source iBBiG_1.2.0.tar.gz
Windows Binary iBBiG_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) iBBiG_1.2.0.tgz
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