Package: GWASbyCluster 0.1.7

Li Xing

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
GWASbyCluster_0.1.7.zip(r-4.7-any)GWASbyCluster_0.1.7.zip(r-4.6-any)GWASbyCluster_0.1.7.zip(r-4.5-any)
GWASbyCluster_0.1.7.tgz(r-4.6-any)GWASbyCluster_0.1.7.tgz(r-4.5-any)
GWASbyCluster_0.1.7.tar.gz(r-4.7-any)GWASbyCluster_0.1.7.tar.gz(r-4.6-any)
GWASbyCluster_0.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GWASbyCluster/json (API)

# Install 'GWASbyCluster' in R:
install.packages('GWASbyCluster', repos = c('https://ubclxing.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • esSim - An ExpressionSet Object Storing Simulated Genotype Data
  • esSimDiffPriors - An ExpressionSet Object Storing Simulated Genotype Data

On CRAN:

Conda:

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

1.00 score 318 downloads 4 exports 10 dependencies

Last updated from:2ffc794c06. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE124
source / vignettesOK185
linux-releaseNOTE167
macos-releaseNOTE97
macos-oldrelNOTE109
windows-develNOTE91
windows-releaseNOTE87
windows-oldrelNOTE87
wasm-releaseOK98

Exports:estMemSNPsestMemSNPs.oneSetHyperParasimGenoFuncsimGenoFuncDiffPriors

Dependencies:BiobaseBiocGenericsgenericslatticelimmaMatrixrootSolvesnpStatsstatmodsurvival