M3C
Monte Carlo Reference-based Consensus Clustering

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M3C: Monte Carlo Reference-based Consensus Clustering

M3C: Monte Carlo Reference-based Consensus Clustering

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.

Getting started

README.md M3C M3C: Monte Carlo Reference-based Consensus Clustering"

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Package details
AuthorChristopher John, David Watson
Bioconductor views Clustering GeneExpression ImmunoOncology RNASeq Sequencing Transcription
MaintainerChristopher John <chris.r.john86@gmail.com>
LicenseAGPL-3
Version1.12.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R: 
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("M3C")

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M3C documentation built on Nov. 8, 2020, 6:50 p.m.

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