M3C
Monte Carlo Reference-based Consensus Clustering
Bioconductor version: 3.23 · Package version: 1.34.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
DOI: 10.18129/B9.bioc.M3C
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("M3C")Details
| Maintainer | Christopher John <chris.r.john86@gmail.com> |
| Author | Christopher John, David Watson |
| License | AGPL-3 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Clustering, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Transcription |
| Package Short Url | https://bioconductor.org/packages/M3C/ |
Citation
From within R, enter citation("M3C"):
Christopher John, David Watson. M3C: Monte Carlo Reference-based Consensus Clustering. doi:10.18129/B9.bioc.M3C, R package version 1.34.0, https://bioconductor.org/packages/M3C.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | M3C_1.34.0.tar.gz |
| Windows binary (x86_64) | M3C_1.34.0.zip |
| macOS binary (arm64) | M3C_1.34.0.tgz |
| macOS binary (x86_64) | M3C_1.34.0.tgz |
Dependencies
Depends: R (>= 3.5.0)
Imports: ggplot2, Matrix, doSNOW, cluster, parallel, foreach, doParallel, matrixcalc, Rtsne, corpcor, umap