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Results for Neural Ordinary Differential Equations Inspired Parameterization of Kinetic Models

doi: 10.4121/3662eca5-7077-4ca3-8f66-d051e2c79cbe.v1

Dataset

Results from the computational experiments on simulated and experimental time-series data as described in the paper Neural Ordinary Differential Equations Inspired

Parameterization of Kinetic Models. Details on the experiments can be found in the readme of https://github.com/AbeelLab/jaxkineticmodel

History

  • 2024-12-20 first online, published, posted

Publisher

4TU.ResearchData

Format

csv

Funding

Organizations

AI4b.io
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, The Delft Bioinformatics Lab
DSM-Firmenich

DATA

Files (1)

  • 760,256,672 bytesMD5:cbb8ab4377a6168815fe808313ffa696results.zip