DOI: 10.18129/B9.bioc.runibic  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see runibic.

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

Bioconductor version: 3.16

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>

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biocViews Clustering, Coverage, GeneExpression, Microarray, Sequencing, Software
Version 1.20.0
In Bioconductor since BioC 3.6 (R-3.4) (5.5 years)
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
Depends On Me
Imports Me
Suggests Me mosbi
Links To Me
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