Package: M3C 1.27.0
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:
M3C_1.27.0.tar.gz
M3C_1.27.0.zip(r-4.5)M3C_1.27.0.zip(r-4.4)M3C_1.27.0.zip(r-4.3)
M3C_1.27.0.tgz(r-4.4-any)M3C_1.27.0.tgz(r-4.3-any)
M3C_1.27.0.tar.gz(r-4.5-noble)M3C_1.27.0.tar.gz(r-4.4-noble)
M3C_1.27.0.tgz(r-4.4-emscripten)M3C_1.27.0.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')) |
On BioConductor:M3C-1.27.0(bioc 3.20)M3C-1.26.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:8675ffcf25
Exports:clustersimfeaturefilterM3Cpcatsneumap
Dependencies:askpasscliclustercodetoolscolorspacecorpcordoParalleldoSNOWfansifarverforeachggplot2gluegtablehereisobanditeratorsjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmatrixcalcmgcvmunsellnlmeopensslpillarpkgconfigpngR6rappdirsRColorBrewerRcppRcppEigenRcppTOMLreticulaterlangrprojrootRSpectraRtsnescalessnowsystibbleumaputf8vctrsviridisLitewithr
