M3C
Monte Carlo Reference-based Consensus Clustering
Bioconductor version: 3.23 · Package version: 1.34.0
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.
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 |
| Downloads rank | 854 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Transcription |
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