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.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("hierGWAS")
AuthorLaura Buzdugan
Bioconductor views Clustering LinkageDisequilibrium SNP
Date of publicationNone
MaintainerLaura Buzdugan <buzdugan@stat.math.ethz.ch>
LicenseGPL-3
Version1.4.0

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