hierGWAS: Asessing statistical significance in predictive GWA studies
Version 1.6.0

Testing individual SNPs, as well as arbitrarily large groups of SNPs in GWA studies, using a joint model of all SNPs. The method controls the FWER, and provides an automatic, data-driven refinement of the SNP clusters to smaller groups or single markers.

Package details

AuthorLaura Buzdugan
Bioconductor views Clustering LinkageDisequilibrium SNP
MaintainerLaura Buzdugan <buzdugan@stat.math.ethz.ch>
Package repositoryView on Bioconductor
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hierGWAS documentation built on May 31, 2017, 2:33 p.m.