Package: GWASbyCluster 0.1.7

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

Identifying disease-associated significant SNPs using clustering approach. This package is implementation of method proposed in Xu et al (2019) <doi:10.1038/s41598-019-50229-6>.

Authors:Yan Xu, Li Xing, Jessica Su, Xuekui Zhang<[email protected]>, Weiliang Qiu <[email protected]>

GWASbyCluster_0.1.7.tar.gz
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GWASbyCluster_0.1.7.tgz(r-4.4-any)GWASbyCluster_0.1.7.tgz(r-4.3-any)
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GWASbyCluster.pdf |GWASbyCluster.html✨
GWASbyCluster/json (API)
NEWS

# Install 'GWASbyCluster' in R:
install.packages('GWASbyCluster', repos = c('https://ubclxing.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • esSim - An ExpressionSet Object Storing Simulated Genotype Data
  • esSimDiffPriors - An ExpressionSet Object Storing Simulated Genotype Data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.00 score 10 dependencies 152 downloads

Last updated 5 years agofrom:2ffc794c06. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-winNOTEAug 27 2024
R-4.5-linuxNOTEAug 27 2024
R-4.4-winNOTEAug 27 2024
R-4.4-macNOTEAug 27 2024
R-4.3-winOKAug 27 2024
R-4.3-macOKAug 27 2024

Exports:estMemSNPsestMemSNPs.oneSetHyperParasimGenoFuncsimGenoFuncDiffPriors

Dependencies:BiobaseBiocGenericslatticelimmaMatrixrootSolvesnpStatsstatmodsurvivalzlibbioc