crj32/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
Browse package contents
Package details |
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| Author | Christopher John, David Watson |
| Bioconductor views | Clustering GeneExpression ImmunoOncology RNASeq Sequencing Transcription |
| Maintainer | Christopher John <chris.r.john86@gmail.com> |
| License | AGPL-3 |
| Version | 1.9.5 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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