rqubic

DOI: 10.18129/B9.bioc.rqubic    

Qualitative biclustering algorithm for expression data analysis in R

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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	1.24.0
In Bioconductor since	BioC 2.9 (R-2.14) (6.5 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

Package Archives

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

Source Package	rqubic_1.24.0.tar.gz
Windows Binary	rqubic_1.24.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	rqubic_1.24.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/rqubic
Package Short Url	http://bioconductor.org/packages/rqubic/
Package Downloads Report	Download Stats