DATE: August 10, 2021 (Tuesday) TIME: 12pm to 1pm HOW: Zoom meeting AUDIENCE: This event is open to the public. Anastasia Razdaibiedina PhD student, Computational Biology and Machine Learning, University of Toronto Discovering gene-disease relationships with deep learning Understanding the genetic causes of diseases is one of the central goals in medicine. Most diseases have a complex genetic basis, and genes often act in'modules' to determine phenotypes. An effective way to discover a module of disease-associated genes, is to use biological networks, or interactomes, that describe interactions between genes and proteins. Here we use deep learning methods to infer an interactome computationally from microscopy imaging data, and subsequently discover gene-disease relationships from the constructed interactome.