Dennis Gankin

The paper presents a fast BINN implementation trained on UK Biobank data to predict disease, revealing limitations in interpretability and showing that model multiplicity can reveal disease heterogeneity.

This paper develops a deep-learning method to unify genetic evidence from common and rare diseases by integrating diverse data sources and identifying shared genetic mechanisms.