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hierGWAS (version 1.2.0)

Asessing statistical significance in predictive GWA studies

Description

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.

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Version

Version

1.2.0

License

GPL-3

Maintainer

Laura Buzdugan

Last Published

February 15th, 2017

Functions in hierGWAS (1.2.0)

hierGWAS

Asessing statistical significance in predictive GWA studies
multisplit

Variable Selection on Random Sample Splits.
simGWAS

Simulated GWAS data
compute.r2

R2 computation
cluster.snp

Hierarchical Clustering of SNP Data
test.hierarchy

Hierarchical Testing of SNPs