To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("rqubic")

In most cases, you don't need to download the package archive at all.

rqubic

Qualitative biclustering algorithm for expression data analysis in R

Bioconductor version: Release (3.0)

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>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("rqubic")

Documentation

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

browseVignettes("rqubic")

 

PDF R Script Qualitative Biclustering with Bioconductor Package rqubic
PDF   Reference Manual
Text   NEWS

Details

biocViews Clustering, Microarray, Software
Version 1.12.0
In Bioconductor since BioC 2.9 (R-2.14)
License GPL-2
Depends methods, Biobase, biclust
Imports
Suggests RColorBrewer
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source rqubic_1.12.0.tar.gz
Windows Binary rqubic_1.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) rqubic_1.12.0.tgz
Mac OS X 10.9 (Mavericks) rqubic_1.12.0.tgz
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