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GWASbyCluster  

Identifying Significant SNPs in Genome Wide Association Studies (GWAS) via Clustering
View on CRAN: Click here


Download and install GWASbyCluster package within the R console
Install from CRAN:
install.packages("GWASbyCluster")

Install from Github:
library("remotes")
install_github("cran/GWASbyCluster")

Install by package version:
library("remotes")
install_version("GWASbyCluster", "0.1.7")



Attach the package and use:
library("GWASbyCluster")
Maintained by
Li Xing
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-11
Latest Update: 2019-10-11
Description:
Identifying disease-associated significant SNPs using clustering approach. This package is implementation of method proposed in Xu et al (2019) .
How to cite:
Li Xing (2019). GWASbyCluster: Identifying Significant SNPs in Genome Wide Association Studies (GWAS) via Clustering. R package version 0.1.7, https://cran.r-project.org/web/packages/GWASbyCluster. Accessed 18 Sep. 2026.
Previous versions and publish date:
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Other R packages that GWASbyCluster depends, imports, suggests or enhances
Complete documentation for GWASbyCluster
Functions, R codes and Examples using the GWASbyCluster R package
Some associated functions: esSim . esSimDiffPriors . estMemSNPs . estMemSNPs.oneSetHyperPara . simGenoFunc . simGenoFuncDiffPriors . 
Some associated R codes: EM.R . estMemSNPs_v10.R . genSimDat.R .  Full GWASbyCluster package functions and examples
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