DOI: 10.18129/B9.bioc.hierGWAS  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see hierGWAS.

Asessing statistical significance in predictive GWA studies

Bioconductor version: 3.16

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.

Author: Laura Buzdugan

Maintainer: Laura Buzdugan <buzdugan at stat.math.ethz.ch>

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biocViews Clustering, LinkageDisequilibrium, SNP, Software
Version 1.28.0
In Bioconductor since BioC 3.2 (R-3.2) (7.5 years)
License GPL-3
Depends R (>= 3.2.0)
Imports fastcluster, glmnet, fmsb
Suggests BiocGenerics, RUnit, MASS
Depends On Me
Imports Me
Suggests Me
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Source Package hierGWAS_1.28.0.tar.gz
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