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Bioconductor - runibic

runibic

This is the released version of runibic; for the devel version, see runibic.

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

Bioconductor version: Release (3.21)

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>

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

To install this package, start R (version "4.5") and enter:


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

BiocManager::install("runibic")

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("runibic")
runibic: UniBic in R Tutorial HTML Reference Manual PDF NEWS Text LICENSE Text Details biocViews Clustering, Coverage, GeneExpression, Microarray, Sequencing, Software Version 1.30.0 In Bioconductor since BioC 3.6 (R-3.4) (7.5 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 Package Archives

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


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