Yun Hao: Decoding the Human Genome with AI
Автор: Flatiron Institute
Загружено: 2026-01-08
Просмотров: 40
Описание:
Interpreting the human genome remains a fundamental challenge at the intersection of computational biology and medicine. Recent advances in machine learning—particularly in deep representation learning—are redefining how we model genomic function and disease. In this talk, I will present AI frameworks that learn directly from DNA sequences using architectures such as convolutional and transformer-based models to predict regulatory activity, functional consequences of noncoding variants. I will discuss how these models capture higher-order dependencies, encode sequence–function relationships, and generalize across cell types. Finally, I will illustrate how applying these frameworks to large-scale genomic and clinical datasets has revealed novel regulatory mechanisms and causal drivers of complex diseases, paving the way for interpretable and scalable precision genomics.
For more information go here: https://www.simonsfoundation.org/flat...
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