Package: RHclust 2.0.0
Joseph Handwerker
RHclust: Vector in Partition
Non-parametric clustering of joint pattern multi-genetic/epigenetic factors. This package contains functions designed to cluster subjects based on gene features including single nucleotide polymorphisms (SNPs), DNA methylation (CPG), gene expression (GE), and covariate data. The novel concept follows the general K-means (Hartigan and Wong (1979) <doi:10.2307/2346830> framework but uses weighted Euclidean distances across the gene features to cluster subjects. This approach is unique in that it attempts to capture all pairwise interactions in an effort to cluster based on their complex biological interactions.
Authors:
RHclust_2.0.0.tar.gz
RHclust_2.0.0.tar.gz(r-4.5-noble)RHclust_2.0.0.tar.gz(r-4.4-noble)
RHclust_2.0.0.tgz(r-4.4-emscripten)RHclust_2.0.0.tgz(r-4.3-emscripten)
RHclust.pdf |RHclust.html✨
RHclust/json (API)
| # Install 'RHclust' in R: |
| install.packages('RHclust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:98e0e8a545. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 02 2024 |
| R-4.5-linux | OK | Dec 02 2024 |
Exports:BinaryClassSimDataVIPVIPcovVIPnoCPGVIPnoSNP
Dependencies:Runuran
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Binary Classification | BinaryClass |
| GE, CPG, SNP, and Covariate Simulated Data | SimData |
| Vector in Partition | VIP |
| Vector in Partition with covariates | VIPcov |
| Vector in Partition without CPG data | VIPnoCPG |
| Vector in Partition without SNP data | VIPnoSNP |