Package: GPA
Type: Package
Version: 1.23.0
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: 2025-11-02 03:48:03 UTC; root
biocViews: Software, StatisticalMethod, Classification,
        GenomeWideAssociation, SNP, Genetics, Clustering,
        MultipleComparison, Preprocessing, GeneExpression,
        DifferentialExpression
SystemRequirements: GNU make
Config/pak/sysreqs: make zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:58:04 UTC
RemoteUrl: https://github.com/bioc/GPA
RemoteRef: HEAD
RemoteSha: 564d1152eeba80bdc743883f3d846ae7522b2e64
Built: R 4.6.0; x86_64-w64-mingw32; 2025-11-02 03:50:22 UTC; windows
Archs: x64
