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 (3.1)

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 1.14.0
In Bioconductor since BioC 2.9 (R-2.14) (4 years)
License GPL-2
Depends
Imports methods, Biobase, BiocGenerics, biclust
LinkingTo
Suggests RColorBrewer
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source rqubic_1.14.0.tar.gz
Windows Binary rqubic_1.14.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) rqubic_1.14.0.tgz
Mac OS X 10.9 (Mavericks) rqubic_1.14.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/rqubic/tree/release-3.1
Package Short Url http://bioconductor.org/packages/rqubic/
Package Downloads Report Download Stats

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