Package: iBBiG
Type: Package
Title: Iterative Binary Biclustering of Genesets
Version: 1.31.0
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: 2019-11-07 03:38:30 UTC; biocbuild
git_url: https://git.bioconductor.org/packages/iBBiG
git_branch: master
git_last_commit: 2b05baf
git_last_commit_date: 2019-10-29
Date/Publication: 2019-11-06
NeedsCompilation: yes
Built: R 4.0.0; i386-w64-mingw32; 2019-11-07 07:49:30 UTC; windows
Archs: i386, x64
