MCbiclust

DOI: 10.18129/B9.bioc.MCbiclust    

Massive correlating biclusters for gene expression data and associated methods

Bioconductor version: Release (3.15)

Custom made algorithm and associated methods for finding, visualising and analysing biclusters in large gene expression data sets. Algorithm is based on with a supplied gene set of size n, finding the maximum strength correlation matrix containing m samples from the data set.

Author: Robert Bentham

Maintainer: Robert Bentham <robert.bentham.11 at ucl.ac.uk>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("MCbiclust")

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("MCbiclust")

 

HTML	R Script	Introduction to MCbiclust
PDF		Reference Manual

Details

biocViews	Clustering, GeneExpression, ImmunoOncology, Microarray, RNASeq, Software, StatisticalMethod
Version	1.20.0
In Bioconductor since	BioC 3.5 (R-3.4) (5.5 years)
License	GPL-2
Depends	R (>= 3.4)
Imports	BiocParallel, graphics, utils, stats, AnnotationDbi, GO.db, org.Hs.eg.db, GGally, ggplot2, scales, cluster, WGCNA
LinkingTo
Suggests	gplots, knitr, rmarkdown, BiocStyle, gProfileR, MASS, dplyr, pander, devtools, testthat, GSVA
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	MCbiclust_1.20.0.tar.gz
Windows Binary	MCbiclust_1.20.0.zip
macOS Binary (x86_64)	MCbiclust_1.20.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MCbiclust
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/MCbiclust
Package Short Url	https://bioconductor.org/packages/MCbiclust/
Package Downloads Report	Download Stats