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.
|Author||Dongjun Chung, Emma Kortemeier|
|Maintainer||Dongjun Chung <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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