runibic

DOI: 10.18129/B9.bioc.runibic    

runibic: row-based biclustering algorithm for analysis of gene expression data in R

Bioconductor version: Release (3.6)

This package implements UbiBic algorithm in R. This biclustering algorithm for analysis of gene expression data was introduced by Zhenjia Wang et al. in 2016. It is currently considered the most promising biclustering method for identification of meaningful structures in complex and noisy data.

Author: Patryk Orzechowski, Artur Pańszczyk

Maintainer: Patryk Orzechowski <patryk.orzechowski at gmail.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("runibic")

Documentation

HTML		runibic: UniBic in R Tutorial
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	Clustering, Coverage, GeneExpression, Microarray, Sequencing, Software
Version	1.0.2
License	MIT + file LICENSE
Depends	R (>= 3.4.0), biclust, SummarizedExperiment
Imports	Rcpp (>= 0.12.12), testthat, methods
LinkingTo	Rcpp
Suggests	knitr, rmarkdown, GEOquery, affy, airway, QUBIC
SystemRequirements	C++11, GNU make
Enhances
URL	http://github.com/athril/runibic
BugReports	http://github.com/athril/runibic/issues
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	runibic_1.0.2.tar.gz
Windows Binary	runibic_1.0.2.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	runibic_1.0.2.tgz
Source Repository	git clone https://git.bioconductor.org/packages/runibic
Package Short Url	http://bioconductor.org/packages/runibic/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.6	Source Archive