M3C
This is the released version of M3C; for the devel version, see M3C.
Monte Carlo Reference-based Consensus Clustering
Bioconductor version: Release (3.22)
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 "4.5") 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")
Details
| biocViews | Clustering, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Transcription |
| Version | 1.32.0 |
| In Bioconductor since | BioC 3.6 (R-3.4) (8.5 years) |
| License | AGPL-3 |
| Depends | R (>= 3.5.0) |
| Imports | ggplot2, Matrix, doSNOW, cluster, parallel, foreach, doParallel, matrixcalc, Rtsne, corpcor, umap |
| System Requirements | |
| URL |
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Follow Installation instructions to use this package in your R session.