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Bioconductor - GPA (development version)

GPA

This is the development version of GPA; for the stable release version, see GPA.

GPA (Genetic analysis incorporating Pleiotropy and Annotation)

Bioconductor version: Development (3.22)

This package provides functions for fitting GPA, a statistical framework to prioritize GWAS results by integrating pleiotropy information and annotation data. In addition, it also includes ShinyGPA, an interactive visualization toolkit to investigate pleiotropic architecture.

Author: Dongjun Chung, Emma Kortemeier, Carter Allen

Maintainer: Dongjun Chung <dongjun.chung at gmail.com>

Citation (from within R, enter citation("GPA")): Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("GPA")

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("GPA")
Details biocViews Classification, Clustering, DifferentialExpression, GeneExpression, Genetics, GenomeWideAssociation, MultipleComparison, Preprocessing, SNP, Software, StatisticalMethod Version 1.21.0 In Bioconductor since BioC 3.11 (R-4.0) (5 years) License GPL (>= 2) Depends R (>= 4.0.0), methods, graphics, Rcpp Imports parallel, ggplot2, ggrepel, plyr, vegan, DT, shiny, shinyBS, stats, utils, grDevices System Requirements GNU make URL http://dongjunchung.github.io/GPA/ Bug Reports https://github.com/dongjunchung/GPA/issues See More Package Archives

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

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