iBBiG
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("iBBiG")
To cite this package in a publication, start R and enter:
citation("iBBiG")
Documentation
| R Script | iBBiG User Manual | |
| Reference Manual |
Details
| 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 |
Package Downloads
| 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 |
| Package Downloads Report | Download Stats |
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