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iBBiG

Iterative Binary Biclustering of Genesets


Bioconductor version: Release (3.18)

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>

Citation (from within R, enter citation("iBBiG")):

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("iBBiG")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("iBBiG")
iBBiG User Manual PDF R Script
Reference Manual PDF

Details

biocViews Annotation, Clustering, GeneSetEnrichment, Software
Version 1.46.0
In Bioconductor since BioC 2.10 (R-2.15) (12 years)
License Artistic-2.0
Depends biclust
Imports stats4, xtable, ade4
System Requirements
URL http://bcb.dfci.harvard.edu/~aedin/publications/
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package iBBiG_1.46.0.tar.gz
Windows Binary iBBiG_1.46.0.zip (64-bit only)
macOS Binary (x86_64) iBBiG_1.46.0.tgz
macOS Binary (arm64) iBBiG_1.46.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/iBBiG
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/iBBiG
Bioc Package Browser https://code.bioconductor.org/browse/iBBiG/
Package Short Url https://bioconductor.org/packages/iBBiG/
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