GWAS.BAYES

DOI: 10.18129/B9.bioc.GWAS.BAYES  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see GWAS.BAYES.

Bayesian analysis of Gaussian GWAS data

Bioconductor version: 3.17

This package is built to perform GWAS analysis using Bayesian techniques. Currently, GWAS.BAYES has functionality for the implementation of BICOSS for Gaussian phenotypes (Williams, J., Ferreira, M. A., and Ji, T. (2022). BICOSS: Bayesian iterative conditional stochastic search for GWAS. BMC Bioinformatics 23, 475). The research related to this package was supported in part by National Science Foundation awards DMS 1853549, DMS 1853556, and DMS 2054173.

Author: Jacob Williams [aut, cre] , Marco Ferreira [aut] , Tieming Ji [aut]

Maintainer: Jacob Williams <jwilliams at vt.edu>

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("GWAS.BAYES")

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("GWAS.BAYES")

 

HTML	R Script	GWAS.BAYES
PDF		Reference Manual
Text		LICENSE

Details

biocViews	AssayDomain, Bayesian, GenomeWideAssociation, SNP, Software
Version	1.10.0
In Bioconductor since	BioC 3.12 (R-4.0) (3 years)
License	GPL-3
Depends	R (>= 4.2.0)
Imports	GA (>= 3.2), caret (>= 6.0-86), memoise (>= 1.1.0), Matrix (>= 1.2-18), limma(>= 3.54.0), stats (>= 4.2.2), MASS (>= 7.3-58.1)
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown, formatR, rrBLUP
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	GWAS.BAYES_1.10.0.tar.gz
Windows Binary	GWAS.BAYES_1.10.0.zip
macOS Binary (x86_64)	GWAS.BAYES_1.10.0.tgz
macOS Binary (arm64)	GWAS.BAYES_1.10.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GWAS.BAYES
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/GWAS.BAYES
Bioc Package Browser	https://code.bioconductor.org/browse/GWAS.BAYES/
Package Short Url	https://bioconductor.org/packages/GWAS.BAYES/
Package Downloads Report	Download Stats