rqubic

DOI: 10.18129/B9.bioc.rqubic    

Qualitative biclustering algorithm for expression data analysis in R

Bioconductor version: Release (3.11)

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>

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

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("rqubic")

For older versions of R, please refer to the appropriate Bioconductor release.

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 1.34.0
In Bioconductor since BioC 2.9 (R-2.14) (9 years)
License GPL-2
Depends
Imports methods, Biobase, BiocGenerics, biclust
LinkingTo
Suggests RColorBrewer
SystemRequirements
Enhances
URL
Depends On Me
Imports Me miRSM
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package rqubic_1.34.0.tar.gz
Windows Binary rqubic_1.34.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra) rqubic_1.34.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/rqubic
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/rqubic
Package Short Url https://bioconductor.org/packages/rqubic/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.11 Source Archive

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