GPA
GPA (Genetic analysis incorporating Pleiotropy and Annotation)
Bioconductor version: 3.24 · Package version: 1.25.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GPA")Details
| Maintainer | Dongjun Chung <dongjun.chung@gmail.com> |
| Author | Dongjun Chung, Emma Kortemeier, Carter Allen |
| License | GPL (>= 2) |
| URL | http://dongjunchung.github.io/GPA/ |
| Bug Reports | https://github.com/dongjunchung/GPA/issues |
| System Requirements | GNU make |
| Downloads rank | 307 |
| Source branch | devel |
| biocViews | Classification, Clustering, DifferentialExpression, GeneExpression, Genetics, GenomeWideAssociation, MultipleComparison, Preprocessing, SNP, Software, StatisticalMethod |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | GPA_1.25.0.tar.gz |
| Windows binary (x86_64) | GPA_1.25.0.zip |
| macOS binary (arm64) | GPA_1.25.0.tgz |
| macOS binary (x86_64) | GPA_1.25.0.tgz |