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Unveiling the Dynamics of Gene Expression Networks
Exploring the significance of dynamical data in understanding gene expression networks, the limitations of static snapshots in capturing system dynamics, and the emerging tools for navigating gene interactions. Delving into circadian rhythms, rules of life, and the intricate coordination of biological clocks, the chapter also discusses the application of machine learning in studying circadian rhythms and its implications for health conditions and medication timing.