Predicting Gene-Regulatory Function from DNA Sequence with Deep Learning

Explore how deep learning can predict gene-regulatory function from DNA sequences in this 34-minute conference talk from the Variant to Function (V2F) Symposium at the Broad Institute. Learn from Johannes Linder, PhD, Machine Learning Scientist at Calico Life Sciences LLC, as he presents cutting-edge approaches to understanding genetic regulation through computational methods. Discover how machine learning techniques can bridge the gap between genetic variants and their functional consequences, contributing to the broader goal of translating genetic associations into actionable therapeutic targets. Gain insights into the intersection of genomics, machine learning, and precision medicine as part of this scientific symposium focused on accelerating genetically-informed approaches in healthcare, hosted by the Novo Nordisk Foundation Center for Genomic Mechanisms of Disease.