Finding Salient Multi-Omic Interactomes Relevant to Multiple Biomedical Outcomes using Graph Ensemble Neural Networks
Tara Eicher, Jany Chan, Aline Paixão Becker, Saikh Jaharul Haque, Jessica L. Fleming, Joseph Paul McElroy, Wei Meng, Amy Webb, Rachel S. Kelly, Juan Carlos Celedon, Clary B. Clish, Robert Edgardo Gerszten, Michael J. McGeachie, Scott T. Weiss, Jessica Ann Lasky-Su, , Raghu Machiraju
This paper introduces GENN, a method for multi-omic interactome analysis that improves prediction of biomedical outcomes by learning salient associations in a low-dimensional space.
bioRxiv · Dec 28, 2024 · PreprintBioinformatics