This repository provides the key source code to reproduce the data for the INFIMA paper.
Chenyang Dong ([email protected]) or Sunduz Keles ([email protected])
C. Dong, S. Simonett, S. Shin, D. Stapleton, K. Schueler, G. Churchill, L. Lu, X. Liu, F. Jin, Y. Li, A. Attie, M. Keller, and S. Keles, "INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants".