hierGWAS: Asessing statistical significance in predictive GWA studies

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
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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hierGWAS documentation built on Nov. 8, 2020, 8:05 p.m.