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hierGWAS

Asessing statistical significance in predictive GWA studies

Bioconductor version: 3.24 · Package version: 1.43.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("hierGWAS")

Details

MaintainerLaura Buzdugan <buzdugan@stat.math.ethz.ch>
AuthorLaura Buzdugan
LicenseGPL-3
Downloads rank452
Source branchdevel
biocViewsClustering, LinkageDisequilibrium, SNP, Software

Download

Follow the installation instructions to use this package in your R session.

Source packagehierGWAS_1.43.0.tar.gz
Windows binary (x86_64)hierGWAS_1.43.0.zip
macOS binary (arm64)hierGWAS_1.43.0.tgz
macOS binary (x86_64)hierGWAS_1.43.0.tgz
Dependencies

Depends: R (>= 3.2.0)

Imports: fastcluster, glmnet, fmsb

Suggests: BiocGenerics, RUnit, MASS