M3C

DOI: 10.18129/B9.bioc.M3C    

Monte Carlo Reference-based Consensus Clustering

Bioconductor version: Release (3.15)

M3C is a consensus clustering algorithm that uses a Monte Carlo simulation to eliminate overestimation of K and can reject the null hypothesis K=1.

Author: Christopher John, David Watson

Maintainer: Christopher John <chris.r.john86 at gmail.com>

Installation

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

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

BiocManager::install("M3C")

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("M3C")

 

PDF	R Script	M3C
PDF		Reference Manual
Text		NEWS

Details

biocViews	Clustering, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Transcription
Version	1.18.0
In Bioconductor since	BioC 3.6 (R-3.4) (5 years)
License	AGPL-3
Depends	R (>= 3.5.0)
Imports	ggplot2, Matrix, doSNOW, cluster, parallel, foreach, doParallel, matrixcalc, Rtsne, corpcor, umap
LinkingTo
Suggests	knitr, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me	HCV, lilikoi
Suggests Me	metabolomicsR, parameters
Links To Me
Build Report

Package Archives

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

Source Package	M3C_1.18.0.tar.gz
Windows Binary	M3C_1.18.0.zip
macOS Binary (x86_64)	M3C_1.18.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/M3C
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/M3C
Package Short Url	https://bioconductor.org/packages/M3C/
Package Downloads Report	Download Stats