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:
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)
# 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
cluster-analysiscluster-of-clustersclusteringcocagenomicsintegrative-clusteringmulti-omics
Last updated 4 years agofrom:b89ca330ed. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | NOTE | Nov 13 2024 |
R-4.5-linux | NOTE | Nov 13 2024 |
R-4.4-win | NOTE | Nov 13 2024 |
R-4.4-mac | NOTE | Nov 13 2024 |
R-4.3-win | NOTE | Nov 13 2024 |
R-4.3-mac | NOTE | Nov 13 2024 |
Exports:buildMOCchooseKusingAUCcocaconsensusClusterexpandMOCfillMOCmaximiseSilhouetteplotMOC
Dependencies:caretclasscliclockclustercodetoolscolorspacecpp11data.tableDEoptimRdiagramdigestdiptestdplyre1071fansifarverflexmixforeachfpcfuturefuture.applygenericsggplot2glmnetglobalsgluegowergtablehardhatipredisobanditeratorskernlabKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmclustmgcvModelMetricsmodeltoolsmunsellnlmennetnumDerivparallellypheatmappillarpkgconfigplyrprabcluspROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppEigenrecipesreshape2rlangrobustbaserpartscalesshapesparclSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Build Matrix-Of-Clusters | buildMOC |
Choose number of clusters based on AUC | chooseKusingAUC |
Cluster-Of-Clusters Analysis | coca |
Consensus clustering | consensusCluster |
Expand matrix of clusters | expandMOC |
Fill Matrix-Of-Clusters | fillMOC |
Choose K that maximises the silhouette from a set of kernel matrices and clusterings | maximiseSilhouette |
Plot Matrix-Of-Clusters | plotMOC |