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M3C

Monte Carlo Reference-based Consensus Clustering


Bioconductor version: Release (3.19)

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>

Citation (from within R, enter citation("M3C")):

Installation

To install this package, start R (version "4.4") 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")
M3C PDF R Script
Reference Manual PDF
NEWS Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews Clustering, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Transcription
Version 1.26.0
In Bioconductor since BioC 3.6 (R-3.4) (7 years)
License AGPL-3
Depends R (>= 3.5.0)
Imports ggplot2, Matrix, doSNOW, cluster, parallel, foreach, doParallel, matrixcalc, Rtsne, corpcor, umap
System Requirements
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Suggests knitr, rmarkdown
Linking To
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Depends On Me
Imports Me lilikoi
Suggests Me parameters
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Package Archives

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

Source Package M3C_1.26.0.tar.gz
Windows Binary (x86_64) M3C_1.26.0.zip
macOS Binary (x86_64) M3C_1.26.0.tgz
macOS Binary (arm64) M3C_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/M3C
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/M3C
Bioc Package Browser https://code.bioconductor.org/browse/M3C/
Package Short Url https://bioconductor.org/packages/M3C/
Package Downloads Report Download Stats