Package: coca 1.1.0

Alessandra Cabassi

coca: Cluster-of-Clusters Analysis

Contains the R functions needed to perform Cluster-Of-Clusters Analysis (COCA) and Consensus Clustering (CC). For further details please see Cabassi and Kirk (2020) <doi:10.1093/bioinformatics/btaa593>.

Authors:Alessandra Cabassi [aut, cre], Paul DW Kirk [ths]

coca_1.1.0.tar.gz
coca_1.1.0.zip(r-4.5)coca_1.1.0.zip(r-4.4)coca_1.1.0.zip(r-4.3)
coca_1.1.0.tgz(r-4.4-any)coca_1.1.0.tgz(r-4.3-any)
coca_1.1.0.tar.gz(r-4.5-noble)coca_1.1.0.tar.gz(r-4.4-noble)
coca_1.1.0.tgz(r-4.4-emscripten)coca_1.1.0.tgz(r-4.3-emscripten)
coca.pdf |coca.html✨
coca/json (API)

Peer review:

Bug tracker:https://github.com/acabassi/coca/issues

On CRAN:

cluster-analysiscluster-of-clustersclusteringcocagenomicsintegrative-clusteringmulti-omics

8 exports 6 stars 1.59 score 89 dependencies 1 dependents 1 mentions 12 scripts 307 downloads

Last updated 4 years agofrom:b89ca330ed. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:buildMOCchooseKusingAUCcocaconsensusClusterexpandMOCfillMOCmaximiseSilhouetteplotMOC

Dependencies:caretclasscliclockclustercodetoolscolorspacecpp11data.tableDEoptimRdiagramdigestdiptestdplyre1071fansifarverflexmixforeachfpcfuturefuture.applygenericsggplot2glmnetglobalsgluegowergtablehardhatipredisobanditeratorskernlabKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmclustmgcvModelMetricsmodeltoolsmunsellnlmennetnumDerivparallellypheatmappillarpkgconfigplyrprabcluspROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppEigenrecipesreshape2rlangrobustbaserpartscalesshapesparclSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr