Neural Ordinary Differential Equations Inspired Parameterization of Kinetic Models
Paul van Lent, Olga Bunkova, Léon Planken, Joep P. J. Schmitz, Thomas Abeel
The paper introduces a framework for training metabolic kinetic models using neural ODEs, demonstrating efficient parameterization on SBML models and glycolysis data.
bioRxiv · Dec 20, 2024 · PreprintSystems Biology