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Dive into a hands-on session exploring deep learning for regulatory genomics with Surag Nair's talk "How to Train your DragoNN: A Primer on Deep Learning for Regulatory Genomics." Learn about the application of machine learning techniques in genomic analysis as part of the "Machine Learning for Health and Disease" program. Gain insights into using deep learning models to understand regulatory elements in the genome and their impact on gene expression. Explore practical implementations and case studies that demonstrate the power of deep learning in decoding complex genomic data. Benefit from this comprehensive introduction to cutting-edge computational methods in genomics research, suitable for PhD students, medical professionals, and researchers interested in the intersection of machine learning and genomics.
