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

Bioconductor version: Release (3.18)

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 PaƄszczyk

Maintainer: Patryk Orzechowski <patryk.orzechowski at gmail.com>

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


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

runibic: UniBic in R Tutorial HTML
Reference Manual PDF


biocViews Clustering, Coverage, GeneExpression, Microarray, Sequencing, Software
Version 1.24.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 years)
License MIT + file LICENSE
Depends R (>= 3.4.0), biclust, SummarizedExperiment
Imports Rcpp (>= 0.12.12), testthat, methods
System Requirements C++11, GNU make
URL http://github.com/athril/runibic
Bug Reports http://github.com/athril/runibic/issues
See More
Suggests knitr, rmarkdown, GEOquery, affy, airway, QUBIC
Linking To Rcpp
Depends On Me
Imports Me
Suggests Me mosbi
Links To Me
Build Report Build Report

Package Archives

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

Source Package runibic_1.24.0.tar.gz
Windows Binary runibic_1.24.0.zip (64-bit only)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/runibic
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/runibic
Bioc Package Browser https://code.bioconductor.org/browse/runibic/
Package Short Url https://bioconductor.org/packages/runibic/
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