hierGWAS (original) (raw)
Asessing statistical significance in predictive GWA studies
Bioconductor version: Release (3.19)
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
Citation (from within R, enter citation("hierGWAS")):
Installation
To install this package, start R (version "4.4") 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")Details
| biocViews | Clustering, LinkageDisequilibrium, SNP, Software |
|---|---|
| Version | 1.34.0 |
| In Bioconductor since | BioC 3.2 (R-3.2) (9 years) |
| License | GPL-3 |
| Depends | R (>= 3.2.0) |
| Imports | fastcluster, glmnet, fmsb |
| System Requirements | |
| URL |
See More
| Suggests | BiocGenerics, RUnit, MASS |
|---|---|
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
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| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | hierGWAS_1.34.0.tar.gz |
|---|---|
| Windows Binary | hierGWAS_1.34.0.zip |
| macOS Binary (x86_64) | hierGWAS_1.34.0.tgz |
| macOS Binary (arm64) | hierGWAS_1.34.0.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 |