Bioconductor version: Release (3.15)
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 PaĆszczyk
Maintainer: Patryk Orzechowski <patryk.orzechowski at gmail.com>
Citation (from within R,
enter citation("runibic")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("runibic")
HTML | runibic: UniBic in R Tutorial | |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Clustering, Coverage, GeneExpression, Microarray, Sequencing, Software |
Version | 1.18.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (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 |
Enhances | |
URL | http://github.com/athril/runibic |
BugReports | http://github.com/athril/runibic/issues |
Depends On Me | |
Imports Me | |
Suggests Me | mosbi |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | runibic_1.18.0.tar.gz |
Windows Binary | runibic_1.18.0.zip |
macOS Binary (x86_64) | |
Source Repository | git clone https://git.bioconductor.org/packages/runibic |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/runibic |
Package Short Url | https://bioconductor.org/packages/runibic/ |
Package Downloads Report | Download Stats |
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