From biological data to oscillator models using SINDy
Bartosz Prokop,
Lendert Gelens
Abstract:A large number of important dynamical biological processes, such as the early embryonic cell cycle, cardiac rhythms, or circadian rhythms, are dominated by periodic changes, also called oscillations. It has been a long-standing interest of scientists to understand the underlying mechanisms that describe and regulate this dynamic behavior, usually using classical model identification techniques. The recent rise of data-driven methods, also called machine learning, has fundamentally changed model identification,… Show more
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