Package: GPA
Type: Package
Version: 1.24.0
Date: 2020-02-24
Title: GPA (Genetic analysis incorporating Pleiotropy and Annotation)
Author: Dongjun Chung, Emma Kortemeier, Carter Allen
Maintainer: Dongjun Chung <dongjun.chung@gmail.com>
Depends: R (>= 4.0.0), methods, graphics, Rcpp
Imports: parallel, ggplot2, ggrepel, plyr, vegan, DT, shiny, shinyBS,
        stats, utils, grDevices
Suggests: gpaExample
LinkingTo: Rcpp
Description: 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.
License: GPL (>= 2)
URL: http://dongjunchung.github.io/GPA/
BugReports: https://github.com/dongjunchung/GPA/issues
NeedsCompilation: yes
Packaged: 2026-07-05 00:32:00 UTC; root
biocViews: Software, StatisticalMethod, Classification,
        GenomeWideAssociation, SNP, Genetics, Clustering,
        MultipleComparison, Preprocessing, GeneExpression,
        DifferentialExpression
SystemRequirements: GNU make
Config/pak/sysreqs: cmake make libuv1-dev zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:52:16 UTC
RemoteUrl: https://github.com/bioc/GPA
RemoteRef: RELEASE_3_23
RemoteSha: f358a7e049079649be8473eacb47340adee3d9f1