Bioconductor version: Release (3.16)
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")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("M3C")
R Script | M3C | |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Transcription |
Version | 1.20.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (5.5 years) |
License | AGPL-3 |
Depends | R (>= 3.5.0) |
Imports | ggplot2, Matrix, doSNOW, cluster, parallel, foreach, doParallel, matrixcalc, Rtsne, corpcor, umap |
LinkingTo | |
Suggests | knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | HCV, lilikoi |
Suggests Me | metabolomicsR, parameters |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | M3C_1.20.0.tar.gz |
Windows Binary | M3C_1.20.0.zip |
macOS Binary (x86_64) | M3C_1.20.0.tgz |
macOS Binary (arm64) | M3C_1.20.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/M3C |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/M3C |
Bioc Package Browser | https://code.bioconductor.org/browse/M3C/ |
Package Short Url | https://bioconductor.org/packages/M3C/ |
Package Downloads Report | Download Stats |
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