Package: GGPA 1.19.0

Dongjun Chung

GGPA: graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architecture

Genome-wide association studies (GWAS) is a widely used tool for identification of genetic variants associated with phenotypes and diseases, though complex diseases featuring many genetic variants with small effects present difficulties for traditional these studies. By leveraging pleiotropy, the statistical power of a single GWAS can be increased. This package provides functions for fitting graph-GPA, a statistical framework to prioritize GWAS results by integrating pleiotropy. 'GGPA' package provides user-friendly interface to fit graph-GPA models, implement association mapping, and generate a phenotype graph.

Authors:Dongjun Chung, Hang J. Kim, Carter Allen

GGPA_1.19.0.tar.gz
GGPA_1.19.0.zip(r-4.5)GGPA_1.19.0.zip(r-4.4)GGPA_1.19.0.zip(r-4.3)
GGPA_1.19.0.tgz(r-4.4-x86_64)GGPA_1.19.0.tgz(r-4.4-arm64)GGPA_1.19.0.tgz(r-4.3-x86_64)GGPA_1.19.0.tgz(r-4.3-arm64)
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GGPA_1.19.0.tgz(r-4.4-emscripten)GGPA_1.19.0.tgz(r-4.3-emscripten)
GGPA.pdf |GGPA.html
GGPA/json (API)
NEWS

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

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On BioConductor:GGPA-1.19.0(bioc 3.21)GGPA-1.18.0(bioc 3.20)

softwarestatisticalmethodclassificationgenomewideassociationsnpgeneticsclusteringmultiplecomparisonpreprocessinggeneexpressiondifferentialexpression

4.00 score 1 stars 2 scripts 136 downloads 6 exports 52 dependencies

Last updated 23 days agofrom:872cd059fe. Checks:OK: 1 NOTE: 4 WARNING: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-win-x86_64NOTENov 21 2024
R-4.5-linux-x86_64NOTENov 21 2024
R-4.4-win-x86_64NOTENov 21 2024
R-4.4-mac-x86_64WARNINGNov 21 2024
R-4.4-mac-aarch64WARNINGNov 21 2024
R-4.3-win-x86_64NOTENov 21 2024
R-4.3-mac-x86_64WARNINGNov 21 2024
R-4.3-mac-aarch64WARNINGNov 21 2024

Exports:assocestimatesfdrGGPAplotshow

Dependencies:clicodacolorspacecpp11crayondplyrfansifarverforcatsgenericsGGallyggplot2ggstatsgluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellnetworknlmepatchworkpillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcppRcppArmadillorlangscalessnastatnet.commonstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

GGPA

Rendered fromGGPA-example.Rnwusingutils::Sweaveon Nov 21 2024.

Last update: 2020-04-12
Started: 2020-02-25

Readme and manuals

Help Manual

Help pageTopics
graph-GPAGGPA-package
Association mappingassoc assoc,GGPA-method
Fit graph-GPA modelGGPA
Class "GGPA"estimates estimates,GGPA-method fdr fdr,GGPA-method GGPA-class plot,GGPA,missing-method plot,GGPA-method show,GGPA-method
Simulation dataa for graph-GPAsimulation