GPA: A statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation
The paper is freely available at PLoS Genetics.
This is a joint work with Dongjun Chung, Cong Li, Joel Gelernter and Hongyu Zhao.
About GPA
GPA (Genetic analysis incorporating Pleiotropy and Annotation)
Features of GPA
The real data sets analyzed in GPA
The R package of GPA (c++ version) is currently available at github. The MATLAB package is also available upon request.