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.
Package details |
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Author | Dongjun Chung, Emma Kortemeier |
Maintainer | Dongjun Chung <chungd@musc.edu> |
License | GPL (>= 2) |
Version | 1.1-0 |
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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