hierGWAS

This package is for version 3.21 of Bioconductor; for the stable, up-to-date release version, see hierGWAS.

Asessing statistical significance in predictive GWA studies

Bioconductor version: 3.21

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")):

Installation

To install this package, start R (version "4.5") and enter:


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

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("hierGWAS")

User manual for R-Package hierGWAS PDF R Script

Reference Manual PDF

NEWS Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews Clustering, LinkageDisequilibrium, SNP, Software

Version 1.38.0

In Bioconductor since BioC 3.2 (R-3.2) (10 years)

License GPL-3

Depends R (>= 3.2.0)

Imports fastcluster, glmnet, fmsb

System Requirements

URL

Suggests BiocGenerics, RUnit, MASS

Linking To

Enhances

Depends On Me

Imports Me

Suggests Me

Links To Me

Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package hierGWAS_1.38.0.tar.gz

Windows Binary (x86_64) hierGWAS_1.38.0.zip (64-bit only)

macOS Binary (x86_64) hierGWAS_1.38.0.tgz

macOS Binary (arm64) hierGWAS_1.38.0.tgz

Source Repository git clone https://git.bioconductor.org/packages/hierGWAS

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/hierGWAS

Bioc Package Browser https://code.bioconductor.org/browse/hierGWAS/

Package Short Url https://bioconductor.org/packages/hierGWAS/

Package Downloads Report Download Stats