MCbiclust

DOI: 10.18129/B9.bioc.MCbiclust  

Massive correlating biclusters for gene expression data and associated methods

Bioconductor version: Release (3.16)

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>

Citation (from within R, enter citation("MCbiclust")):

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 1.22.0
In Bioconductor since BioC 3.5 (R-3.4) (6 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_1.22.0.tar.gz
Windows Binary MCbiclust_1.22.0.zip
macOS Binary (x86_64) MCbiclust_1.22.0.tgz
macOS Binary (arm64) MCbiclust_1.22.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MCbiclust
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MCbiclust
Bioc Package Browser https://code.bioconductor.org/browse/MCbiclust/
Package Short Url https://bioconductor.org/packages/MCbiclust/
Package Downloads Report Download Stats

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