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Explore how biological systems optimize computational processes during gene regulation in this conference talk by Marianne Bauer from Delft University of Technology. Delve into the mathematical frameworks and theoretical approaches used to understand how cells efficiently process information and make regulatory decisions at the genetic level. Examine the intersection of computational biology, biophysics, and information theory as applied to gene regulatory networks. Learn about optimization principles that govern cellular decision-making processes and how high-dimensional biological data can be analyzed through low-dimensional models. Discover the latest research on how biological systems balance computational efficiency with functional robustness in gene regulation, and understand the theoretical foundations that explain emergent simplicity in complex biological networks. This presentation is part of the "Unifying Theories in High-Dimensional Biophysics" program, which brings together interdisciplinary perspectives on extracting generalizable principles from high-dimensional biological systems.
