Qualitative biclustering algorithm for expression data analysis in R

Bioconductor version: Release (2.14)

This package implements the QUBIC algorithm introduced by Li et al. for the qualitative biclustering with gene expression data.

Author: Jitao David Zhang, with inputs from Laura Badi and Martin Ebeling

Maintainer: Jitao David Zhang <jitao_david.zhang at roche.com>

To install this package, start R and enter:


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


PDF R Script Qualitative Biclustering with Bioconductor Package rqubic
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biocViews Clustering, Microarray, Software
Version 1.10.0
In Bioconductor since BioC 2.9 (R-2.14)
License GPL-2
Depends methods, Biobase, biclust
Imports Biobase, biclust
Suggests RColorBrewer
System Requirements
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source rqubic_1.10.0.tar.gz
Windows Binary rqubic_1.10.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) rqubic_1.10.0.tgz
Mac OS X 10.9 (Mavericks) rqubic_1.10.0.tgz
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