iBBiG
Iterative Binary Biclustering of Genesets
Bioconductor version: Release (3.20)
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("iBBiG")):
Installation
To install this package, start R (version "4.4") 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 | R Script | |
| Reference Manual |
Details
| biocViews | Annotation, Clustering, GeneSetEnrichment, Software |
| Version | 1.50.0 |
| In Bioconductor since | BioC 2.10 (R-2.15) (12.5 years) |
| License | Artistic-2.0 |
| Depends | biclust |
| Imports | stats4, xtable, ade4 |
| System Requirements | |
| URL | http://bcb.dfci.harvard.edu/~aedin/publications/ |
See More
| Suggests | methods |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | miRSM |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | iBBiG_1.50.0.tar.gz |
| Windows Binary (x86_64) | iBBiG_1.50.0.zip |
| macOS Binary (x86_64) | iBBiG_1.50.0.tgz |
| macOS Binary (arm64) | iBBiG_1.49.0.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/ |
| Package Downloads Report | Download Stats |