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>.

Version: 0.1.7
Depends: R (≥ 3.5.0), Biobase
Imports: stats, snpStats, methods, rootSolve, limma
Published: 2019-10-11
Author: Yan Xu, Li Xing, Jessica Su, Xuekui Zhang, Weiliang Qiu
Maintainer: Li Xing <sfulxing at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: GWASbyCluster citation info
Materials: NEWS
CRAN checks: GWASbyCluster results

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Reference manual: GWASbyCluster.pdf
Package source: GWASbyCluster_0.1.7.tar.gz
Windows binaries: r-devel: GWASbyCluster_0.1.7.zip, r-devel-gcc8: GWASbyCluster_0.1.7.zip, r-release: GWASbyCluster_0.1.7.zip, r-oldrel: GWASbyCluster_0.1.7.zip
OS X binaries: r-release: GWASbyCluster_0.1.7.tgz, r-oldrel: GWASbyCluster_0.1.7.tgz

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