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RHclust (version 2.0.0)

Vector in Partition

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) 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.

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Version

Install

install.packages('RHclust')

Monthly Downloads

163

Version

2.0.0

License

Artistic-2.0

Maintainer

Joseph Handwerker

Last Published

August 15th, 2023

Functions in RHclust (2.0.0)

SimData

GE, CPG, SNP, and Covariate Simulated Data
VIPcov

Vector in Partition with covariates
BinaryClass

Binary Classification
VIPnoSNP

Vector in Partition without SNP data
VIP

Vector in Partition
VIPnoCPG

Vector in Partition without CPG data