This is the development version of runibic; for the stable release version, see runibic.
runibic: row-based biclustering algorithm for analysis of gene expression data in RBioconductor version: Development (3.22)
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 PaÅszczyk
Maintainer: Patryk Orzechowski <patryk.orzechowski at gmail.com>
Citation (from within R, entercitation("runibic")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("runibic")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("runibic")Follow Installation instructions to use this package in your R session.
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