Package: ccml 1.4.0

Chuanxing Li

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:Chuanxing Li [aut, cre], Meng Zhou [aut]

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'))

Peer review:

Bug tracker:https://github.com/pulmonomics-lab/ccml/issues

Datasets:

On CRAN:

2.00 score 3 scripts 215 downloads 5 exports 126 dependencies

Last updated 12 months agofrom:d4fd7fa002. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-winOKOct 13 2024
R-4.5-linuxOKOct 13 2024
R-4.4-winOKOct 13 2024
R-4.4-macOKOct 13 2024
R-4.3-winOKOct 13 2024
R-4.3-macOKOct 13 2024

Exports:callNCWccmlplotCompareCWrandConsensusMatrixspectralClusteringAffinity

Dependencies:abindade4ALLalluvialassertthatbase64encBiobaseBiocGenericsBiocManagerbitbit64bslibcachemclassclassIntclicliprclueclusterclusterSimclvclValidcodetoolscolorspacecombinatcommonmarkConsensusClusterPluscpp11crayondiceRdigestdoParalleldplyre1071ExPositionfansifarverfastmapfontawesomeforcatsforeachfsgenericsggplot2gluegridBasegtablegtoolshardhathavenhighrhmshtmltoolshttpuvinfotheoisobanditeratorsjquerylibjsonliteKernSmoothklaRlabelinglabelledlaterlatticelifecyclemagrittrMASSMatrixmclustmemoisemgcvmimeminiUImunsellnlmeNMFpillarpixmappkgconfigplyrprettyGraphsprettyunitsprogresspromisesproxypurrrquestionrR.cacheR.methodsS3R.ooR.utilsR6RankAggregrappdirsRColorBrewerRcppRcppArmadilloreadrregistryreshape2rlangrngtoolsrprojrootrstudioapisassscalesshinySNFtoolsourcetoolsspstringistringrstylertibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxfunxtableyardstick