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.ResearchDataFormat
csvFunding
- AI4b.io [more info...]
Organizations
AI4b.ioTU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, The Delft Bioinformatics Lab
DSM-Firmenich
DATA
Files (1)
- 760,256,672 bytesMD5:
cbb8ab4377a6168815fe808313ffa696
results.zip