IPAC is a statistical approach that can adaptively incorporates relevant annotations for prioritization of genetic risk variants, allowing nonlinear effects among these annotations, such as interaction effects between genomic features.
The proposed algorithm integrated both EM and gradient boosting.
Software is developed by Can Yang and Chao Yang.