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RHclust
View on CRAN: Click
here
Download and install RHclust package within the R console
Install from CRAN:
install.packages("RHclust")
Install from Github:
library("remotes")
install_github("cran/RHclust")
Install by package version:
library("remotes")
install_version("RHclust", "2.0.0")
Attach the package and use:
library("RHclust")
Maintained by
Joseph Handwerker
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-06
Latest Update: 2023-08-15
Description:
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.
How to cite:
Joseph Handwerker (2021). RHclust: Vector in Partition. R package version 2.0.0, https://cran.r-project.org/web/packages/RHclust
Other packages that cited RHclust R package
View RHclust citation profile
Other R packages that RHclust depends,
imports, suggests or enhances
Functions, R codes and Examples using
the RHclust R package
Some associated functions: BinaryClass . SimData . VIP . VIPnoCPG . VIPnoSNP .
Some associated R codes: BinaryClass.R . SimData.R . VIP.R . VIPnoCPG.R . VIPnoSNP.R . Full RHclust package functions and examples
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