To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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: 3.2

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")):

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rqubic")

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

browseVignettes("rqubic")

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

biocViews	Clustering, Microarray, Software
Version	1.16.0
In Bioconductor since	BioC 2.9 (R-2.14) (4.5 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

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

Package Source	rqubic_1.16.0.tar.gz
Windows Binary	rqubic_1.16.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	rqubic_1.16.0.tgz
Mac OS X 10.9 (Mavericks)	rqubic_1.16.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/rqubic/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/rqubic/
Package Downloads Report	Download Stats

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