Package: iBBiG
Type: Package
Title: Iterative Binary Biclustering of Genesets
Version: 1.54.0
Date: 2011-11-23
Author: Daniel Gusenleitner, Aedin Culhane
Maintainer: Aedin Culhane <aedin@jimmy.harvard.edu>
Depends: biclust
Imports: stats4,xtable,ade4
Suggests: methods
Description: 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
Reference: Gusenleitner D, Howe EA, Bentink S, Quackenbush J, Culhane
        AC. iBBiG: Iterative Binary Bi-clustering of Gene Sets.
        Bioinformatics. In Press
License: Artistic-2.0
URL: http://bcb.dfci.harvard.edu/~aedin/publications/
biocViews: Clustering, Annotation, GeneSetEnrichment
Packaged: 2025-12-22 07:35:36 UTC; root
Config/pak/sysreqs: libicu-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:10:43 UTC
RemoteUrl: https://github.com/bioc/iBBiG
RemoteRef: RELEASE_3_22
RemoteSha: 077f41c95c50108cdaf8adeeea168fa576a16427
NeedsCompilation: yes
Built: R 4.5.2; x86_64-w64-mingw32; 2025-12-22 07:36:50 UTC; windows
Archs: x64
