DOI: 10.18129/B9.bioc.iBBiG    

Iterative Binary Biclustering of Genesets

Bioconductor version: Release (3.6)

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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biocViews Annotation, Clustering, GeneSetEnrichment, Software
Version 1.22.0
In Bioconductor since BioC 2.10 (R-2.15) (6 years)
License Artistic-2.0
Depends biclust
Imports stats4, xtable, ade4
Suggests methods
URL http://bcb.dfci.harvard.edu/~aedin/publications/
Depends On Me
Imports Me
Suggests Me
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