Qualitative biclustering algorithm for expression data analysis in R

Bioconductor version: Release (2.11)

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:


To cite this package in a publication, start R and enter:



PDF R Script Qualitative Biclustering with Bioconductor Package rqubic
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biocViews Clustering, Microarray, Software
Version 1.4.0
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

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Package Source rqubic_1.4.0.tar.gz
Windows Binary rqubic_1.4.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) rqubic_1.4.0.tgz
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