Simulated data | Algorithm setup | Analysing clustering results | Choosing number of clusters | Posterior number of clusters | Sizes of clusters | Obtaining global clusters | Co-clustering matrix | Adjusted Rand index
Package: clusternomics 0.1.1
clusternomics: Integrative Clustering for Heterogeneous Biomedical Datasets
Integrative context-dependent clustering for heterogeneous biomedical datasets. Identifies local clustering structures in related datasets, and a global clusters that exist across the datasets.
Authors:
clusternomics_0.1.1.tar.gz
clusternomics_0.1.1.zip(r-4.7-any)clusternomics_0.1.1.zip(r-4.6-any)clusternomics_0.1.1.zip(r-4.5-any)
clusternomics_0.1.1.tgz(r-4.6-any)clusternomics_0.1.1.tgz(r-4.5-any)
clusternomics_0.1.1.tar.gz(r-4.7-any)clusternomics_0.1.1.tar.gz(r-4.6-any)
clusternomics_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
clusternomics/json (API)
| # Install 'clusternomics' in R: |
| install.packages('clusternomics', repos = c('https://evelinag.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/evelinag/clusternomics/issues
Last updated from:ebccead47a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 284 | ||
| source / vignettes | OK | 192 | ||
| linux-release | OK | 322 | ||
| macos-release | OK | 255 | ||
| macos-oldrel | OK | 239 | ||
| windows-devel | OK | 174 | ||
| windows-release | OK | 232 | ||
| windows-oldrel | OK | 213 | ||
| wasm-release | OK | 110 |
Exports:clusterSizescoclusteringMatrixcontextClusterempiricalBayesPriorgeneratePriorgenerateTestData_1DgenerateTestData_2DnumberOfClusters
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimate sizes of clusters from global cluster assignments. | clusterSizes |
| Compute the posterior co-clustering matrix from global cluster assignments. | coclusteringMatrix |
| Clusternomics: Context-dependent clustering | contextCluster |
| Fit an empirical Bayes prior to the data | empiricalBayesPrior |
| Generate a basic prior distribution for the datasets. | generatePrior |
| Generate simulated 1D dataset for testing | generateTestData_1D |
| Generate simulated 2D dataset for testing | generateTestData_2D |
| Estimate number of clusters from global cluster assignments. | numberOfClusters |