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GWAS.BAYES

Bayesian analysis of Gaussian GWAS data

Bioconductor version: Release (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>

Citation (from within R, enter citation("GWAS.BAYES")):

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")
GWAS.BAYES HTML R Script
Reference Manual PDF
LICENSE Text

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)
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Suggests BiocStyle, knitr, rmarkdown, formatR, rrBLUP
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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