Deciphering the Cis Regulatory Code and Disease Associated Genetic Variation
Explore a comprehensive lecture on deciphering the cis regulatory code and disease-associated genetic variation. Delve into advanced topics in genomics and machine learning as part of the "Machine Learning for Health and Disease" program. Learn how modern computational techniques can be applied to understand complex health-related data across multiple domains. Gain insights into predicting patient outcomes, analyzing medical imaging data, genomic variant analysis, and identifying patterns in large-scale heterogeneous datasets. Discover the potential of machine learning in bridging the gap between mathematical modeling and clinical problems, with a focus on building public health databases and generating resources for clinicians to apply ML techniques in their work.