Package: GPA 1.25.0

Dongjun Chung

GPA: GPA (Genetic analysis incorporating Pleiotropy and Annotation)

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.

Authors:Dongjun Chung, Emma Kortemeier, Carter Allen

GPA_1.25.0.tar.gz
GPA_1.25.0.zip(r-4.7)GPA_1.25.0.zip(r-4.6)GPA_1.25.0.zip(r-4.5)
GPA_1.25.0.tgz(r-4.6-x86_64)GPA_1.25.0.tgz(r-4.6-arm64)GPA_1.25.0.tgz(r-4.5-x86_64)GPA_1.25.0.tgz(r-4.5-arm64)
GPA_1.25.0.tar.gz(r-4.7-arm64)GPA_1.25.0.tar.gz(r-4.7-x86_64)GPA_1.25.0.tar.gz(r-4.6-arm64)GPA_1.25.0.tar.gz(r-4.6-x86_64)
GPA_1.25.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
GPA/json (API)
NEWS

# Install 'GPA' in R:
install.packages('GPA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dongjunchung/gpa/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On BioConductor:GPA-1.25.0(bioc 3.24)GPA-1.24.0(bioc 3.23)

softwarestatisticalmethodclassificationgenomewideassociationsnpgeneticsclusteringmultiplecomparisonpreprocessinggeneexpressiondifferentialexpressioncpp

6.48 score 16 stars 19 scripts 296 downloads 260 mentions 12 exports 63 dependencies

Last updated from:f20fe5cf99. Checks:1 ERROR, 13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR163
linux-devel-arm64OK155
linux-devel-x86_64OK224
source / vignettesOK289
linux-release-arm64OK202
linux-release-x86_64OK218
macos-release-arm64OK115
macos-release-x86_64OK346
macos-oldrel-arm64OK118
macos-oldrel-x86_64OK239
windows-develOK163
windows-releaseOK145
windows-oldrelOK208
wasm-releaseOK137

Exports:assocaTestcovestimatesfdrfitAllGPAprintpTestseshinyGPAshow

Dependencies:base64encbslibcachemcliclustercommonmarkcpp11crosstalkdigestDTevaluatefarverfastmapfontawesomefsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimenlmeotelpermuteplyrpromisesR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesshinyshinyBSsourcetoolstinytexvctrsveganviridisLitewithrxfunxtableyaml

GPA

Rendered fromGPA-example.Rnwusingutils::Sweaveon May 30 2026.

Last update: 2020-04-07
Started: 2020-02-24

Readme and manuals

Help Manual

Help pageTopics
GPA (Genetic analysis incorporating Pleiotropy and Annotation)GPA-package
Association mappingassoc assoc,GPA-method
Hypothesis testing for annotation enrichmentaTest
Fit GPA model for all possible pairs of GWAS datasetsfitAll
Fit GPA modelGPA
Class "GPA"cov cov,GPA-method estimates estimates,GPA-method fdr fdr,GPA-method GPA-class print,GPA-method se se,GPA-method show,GPA-method
Hypothesis testing for pleiotropypTest
Run ShinyGPA appshinyGPA