carter-allen/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.
Getting started
Browse package contents
Package details |
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| Author | Dongjun Chung, Emma Kortemeier, Carter Allen |
| Bioconductor views | Classification Clustering DifferentialExpression GeneExpression Genetics GenomeWideAssociation MultipleComparison Preprocessing SNP Software StatisticalMethod |
| Maintainer | Dongjun Chung <dongjun.chung@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.99.9 |
| URL | http://dongjunchung.github.io/GPA/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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