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Explore advanced computational methods for understanding gene regulation through three-dimensional chromatin structure and single-cell analysis in this 46-minute conference talk. Delve into cutting-edge research on how genes are controlled in their native 3D cellular environment, with particular focus on single-cell genomics approaches that reveal cell-to-cell variability in regulatory mechanisms. Learn about ChromaFold, a novel computational tool that predicts 3D contact maps from single-cell chromatin accessibility data, and discover how graph attention networks can model chromatin interaction-aware gene regulation. Examine deep dynamical models that predict cellular responses to genetic perturbations, including loss-of-function mutations and rescue experiments in B cells. Gain insights into the latest developments in multiomic velocity analysis and how these approaches are advancing our understanding of cellular decision-making processes at unprecedented resolution.
