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-4.7)coca_1.1.0.zip(r-4.6)coca_1.1.0.zip(r-4.5)
coca_1.1.0.tgz(r-4.6-any)coca_1.1.0.tgz(r-4.5-any)
coca_1.1.0.tar.gz(r-4.7-any)coca_1.1.0.tar.gz(r-4.6-any)
coca_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
coca/json (API)

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

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

On CRAN:

Conda:

cluster-analysiscluster-of-clustersclusteringcocagenomicsintegrative-clusteringmulti-omics

5.33 score 6 stars 1 packages 24 scripts 206 downloads 1 mentions 8 exports 87 dependencies

Last updated from:b89ca330ed. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE143
source / vignettesOK239
linux-release-x86_64NOTE146
macos-release-arm64NOTE112
macos-oldrel-arm64NOTE97
windows-develNOTE84
windows-releaseNOTE79
windows-oldrelNOTE89
wasm-releaseOK120

Exports:buildMOCchooseKusingAUCcocaconsensusClusterexpandMOCfillMOCmaximiseSilhouetteplotMOC

Dependencies:caretclasscliclockclustercodetoolscpp11data.tableDEoptimRdiagramdigestdiptestdplyre1071farverflexmixforeachfpcfuturefuture.applygenericsggplot2glmnetglobalsgluegowergtablehardhatipredisobanditeratorskernlabKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmclustModelMetricsmodeltoolsnlmennetnumDerivparallellypheatmappillarpkgconfigplyrprabcluspROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppEigenrecipesreshape2rlangrobustbaserpartS7scalesshapesparclsparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr

Introduction to coca

Rendered fromcoca-vignette.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2020-07-08
Started: 2018-10-04