Package: ccml 1.4.0
ccml: Consensus Clustering for Different Sample Coverage Data
Consensus clustering, also called meta-clustering or cluster ensembles, has been increasingly used in clinical data. Current consensus clustering methods tend to ensemble a number of different clusters from mathematical replicates with similar sample coverage. As the fact of common variety of sample coverage in the real-world data, a new consensus clustering strategy dealing with such biological replicates is required. This is a two-step consensus clustering package, which is used to input multiple predictive labels with different sample coverage (missing labels).
Authors:
ccml_1.4.0.tar.gz
ccml_1.4.0.zip(r-4.5)ccml_1.4.0.zip(r-4.4)ccml_1.4.0.zip(r-4.3)
ccml_1.4.0.tgz(r-4.4-any)ccml_1.4.0.tgz(r-4.3-any)
ccml_1.4.0.tar.gz(r-4.5-noble)ccml_1.4.0.tar.gz(r-4.4-noble)
ccml_1.4.0.tgz(r-4.4-emscripten)ccml_1.4.0.tgz(r-4.3-emscripten)
ccml.pdf |ccml.html✨
ccml/json (API)
NEWS
# Install 'ccml' in R: |
install.packages('ccml', repos = c('https://pulmonomics-lab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pulmonomics-lab/ccml/issues
- example_data - The input data for example
Last updated 12 months agofrom:d4fd7fa002. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 13 2024 |
R-4.5-win | OK | Oct 13 2024 |
R-4.5-linux | OK | Oct 13 2024 |
R-4.4-win | OK | Oct 13 2024 |
R-4.4-mac | OK | Oct 13 2024 |
R-4.3-win | OK | Oct 13 2024 |
R-4.3-mac | OK | Oct 13 2024 |
Exports:callNCWccmlplotCompareCWrandConsensusMatrixspectralClusteringAffinity
Dependencies:abindade4ALLalluvialassertthatbase64encBiobaseBiocGenericsBiocManagerbitbit64bslibcachemclassclassIntclicliprclueclusterclusterSimclvclValidcodetoolscolorspacecombinatcommonmarkConsensusClusterPluscpp11crayondiceRdigestdoParalleldplyre1071ExPositionfansifarverfastmapfontawesomeforcatsforeachfsgenericsggplot2gluegridBasegtablegtoolshardhathavenhighrhmshtmltoolshttpuvinfotheoisobanditeratorsjquerylibjsonliteKernSmoothklaRlabelinglabelledlaterlatticelifecyclemagrittrMASSMatrixmclustmemoisemgcvmimeminiUImunsellnlmeNMFpillarpixmappkgconfigplyrprettyGraphsprettyunitsprogresspromisesproxypurrrquestionrR.cacheR.methodsS3R.ooR.utilsR6RankAggregrappdirsRColorBrewerRcppRcppArmadilloreadrregistryreshape2rlangrngtoolsrprojrootrstudioapisassscalesshinySNFtoolsourcetoolsspstringistringrstylertibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxfunxtableyardstick