Package: M3C 1.35.0

Christopher John

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.

Authors:Christopher John, David Watson

M3C_1.35.0.tar.gz
M3C_1.35.0.zip(r-4.7)M3C_1.35.0.zip(r-4.6)M3C_1.35.0.zip(r-4.5)
M3C_1.35.0.tgz(r-4.6-any)M3C_1.35.0.tgz(r-4.5-any)
M3C_1.35.0.tar.gz(r-4.7-any)M3C_1.35.0.tar.gz(r-4.6-any)
M3C_1.35.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
M3C/json (API)
NEWS

# Install 'M3C' in R:
install.packages('M3C', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • desx - GBM clinical annotation data
  • mydata - GBM expression data

On BioConductor:M3C-1.35.0(bioc 3.24)M3C-1.34.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

clusteringgeneexpressiontranscriptionrnaseqsequencingimmunooncology

6.68 score 1 packages 214 scripts 1.1k downloads 7 mentions 6 exports 43 dependencies

Last updated from:38ef2c3296. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR162
linux-devel-x86_64NOTE202
source / vignettesOK224
linux-release-x86_64NOTE186
macos-release-arm64NOTE106
macos-oldrel-arm64NOTE118
windows-develNOTE131
windows-releaseNOTE131
windows-oldrelNOTE132
wasm-releaseOK119

Exports:clustersimfeaturefilterM3Cpcatsneumap

Dependencies:askpasscliclustercodetoolscorpcorcpp11doParalleldoSNOWfarverforeachggplot2gluegtablehereisobanditeratorsjsonlitelabelinglatticelifecycleMatrixmatrixcalcopensslpngR6rappdirsRColorBrewerRcppRcppEigenRcppTOMLreticulaterlangrprojrootRSpectraRtsneS7scalessnowsysumapvctrsviridisLitewithr

M3C: Monte Carlo Reference-based Consensus Clustering

Rendered fromM3Cvignette.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2020-02-13
Started: 2017-07-05