A tool for building, training, and simulating metabolic kinetic models in Jax/Diffrax
Project description
JaxKineticModel
Python package to simulate, build, and train kinetic models.
Installation
git clone https://github.com/AbeelLab/jaxkineticmodel.git
python -m pip install .
Documentation package
Documentation on jaxkineticmodel can be found here
Running experiments as reported in paper
- Datasets generated from SBML models can be found in datasets
- Glucose pulse datasets can be found here
- Experiments as reported in [1] can be found in scripts. Results from these experiments can found in the 4tu-repository
Source code
All data, source code, scripts, and results can be found in the 4tu-repository
Reference
If you use this package in your work, please reference:
[1] Lent, P. V., Bunkova, O., Planken, L., Schmitz, J., & Abeel, T. (2024). Neural Ordinary Differential Equations Inspired Parameterization of Kinetic Models. bioRxiv, 2024-12.
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