DOI: 10.18129/B9.bioc.hierGWAS    

This is the development version of hierGWAS; for the stable release version, see hierGWAS.

Asessing statistical significance in predictive GWA studies

Bioconductor version: Development (3.8)

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>

Citation (from within R, enter citation("hierGWAS")):


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if (!require("BiocManager"))
BiocManager::install("hierGWAS", version = "devel")


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PDF R Script User manual for R-Package hierGWAS
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biocViews Clustering, LinkageDisequilibrium, SNP, Software
Version 1.11.0
In Bioconductor since BioC 3.2 (R-3.2) (3 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_1.11.0.tar.gz
Windows Binary hierGWAS_1.11.0.zip
Mac OS X 10.11 (El Capitan) hierGWAS_1.11.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/hierGWAS
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/hierGWAS
Package Short Url http://bioconductor.org/packages/hierGWAS/
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