iBBiG: Iterative Binary Biclustering of Genesets

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

Package details

AuthorDaniel Gusenleitner, Aedin Culhane
Bioconductor views Annotation Clustering GeneSetEnrichment
MaintainerAedin Culhane <aedin@jimmy.harvard.edu>
URL http://bcb.dfci.harvard.edu/~aedin/publications/
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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iBBiG documentation built on March 2, 2021, 2 a.m.