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.

Package details

AuthorChristopher John, David Watson
Bioconductor views Clustering GeneExpression ImmunoOncology RNASeq Sequencing Transcription
MaintainerChristopher John <chris.r.john86@gmail.com>
LicenseAGPL-3
Version1.10.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("M3C")

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M3C documentation built on April 29, 2020, 3:45 a.m.