Package: M3C 1.29.0

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_1.29.0.tar.gz
M3C_1.29.0.zip(r-4.5)M3C_1.29.0.zip(r-4.4)M3C_1.29.0.zip(r-4.3)
M3C_1.29.0.tgz(r-4.4-any)M3C_1.29.0.tgz(r-4.3-any)
M3C_1.29.0.tar.gz(r-4.5-noble)M3C_1.29.0.tar.gz(r-4.4-noble)
M3C_1.29.0.tgz(r-4.4-emscripten)M3C_1.29.0.tgz(r-4.3-emscripten)
M3C.pdf |M3C.html✨
M3C/json (API)
NEWS

# Install 'M3C' in R:
install.packages('M3C', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • desx - GBM clinical annotation data
  • mydata - GBM expression data

On BioConductor:M3C-1.29.0(bioc 3.21)M3C-1.28.0(bioc 3.20)

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

clusteringgeneexpressiontranscriptionrnaseqsequencingimmunooncology

6.59 score 1 packages 175 scripts 1.1k downloads 7 mentions 6 exports 52 dependencies

Last updated 2 months agofrom:cbbb878de0. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 18 2024
R-4.5-winNOTEDec 18 2024
R-4.5-linuxNOTEDec 18 2024
R-4.4-winNOTEDec 18 2024
R-4.4-macNOTEDec 18 2024
R-4.3-winNOTEDec 18 2024
R-4.3-macNOTEDec 18 2024

Exports:clustersimfeaturefilterM3Cpcatsneumap

Dependencies:askpasscliclustercodetoolscolorspacecorpcordoParalleldoSNOWfansifarverforeachggplot2gluegtablehereisobanditeratorsjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmatrixcalcmgcvmunsellnlmeopensslpillarpkgconfigpngR6rappdirsRColorBrewerRcppRcppEigenRcppTOMLreticulaterlangrprojrootRSpectraRtsnescalessnowsystibbleumaputf8vctrsviridisLitewithr

M3C: Monte Carlo Reference-based Consensus Clustering

Christopher R John

Rendered fromM3Cvignette.Rmdusingknitr::rmarkdownon Dec 18 2024.

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