Learn R Programming

GWASbyCluster (version 0.1.7)

Identifying Significant SNPs in Genome Wide Association Studies (GWAS) via Clustering

Description

Identifying disease-associated significant SNPs using clustering approach. This package is implementation of method proposed in Xu et al (2019) .

Copy Link

Version

Install

install.packages('GWASbyCluster')

Monthly Downloads

152

Version

0.1.7

License

GPL (>= 2)

Maintainer

Li Xing

Last Published

October 11th, 2019

Functions in GWASbyCluster (0.1.7)

esSim

An ExpressionSet Object Storing Simulated Genotype Data
estMemSNPs.oneSetHyperPara

Estimate SNP cluster membership
estMemSNPs

Estimate SNP cluster membership
esSimDiffPriors

An ExpressionSet Object Storing Simulated Genotype Data
simGenoFunc

Simulate Genotype Data from a Mixture of 3 Bayesian Hierarchical Models
simGenoFuncDiffPriors

Simulate Genotype Data from a Mixture of 3 Bayesian Hierarchical Models