hierGWAS: Asessing statistical significance in predictive GWA studies
Version 1.8.0

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 <[email protected]>
LicenseGPL-3
Version1.8.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("hierGWAS")

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hierGWAS documentation built on Nov. 17, 2017, 1:39 p.m.