Package: GPA
Type: Package
Version: 1.4.0
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: 2021-05-20 00:26:27 UTC; biocbuild
biocViews: Software, StatisticalMethod, Classification,
        GenomeWideAssociation, SNP, Genetics, Clustering,
        MultipleComparison, Preprocessing, GeneExpression,
        DifferentialExpression
SystemRequirements: GNU make
git_url: https://git.bioconductor.org/packages/GPA
git_branch: RELEASE_3_13
git_last_commit: df84978
git_last_commit_date: 2021-05-19
Date/Publication: 2021-05-19
Built: R 4.1.0; i386-w64-mingw32; 2021-05-20 08:23:51 UTC; windows
Archs: i386, x64
