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.
Metadata
Release files for jaxkineticmodel 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jaxkineticmodel-0.0.4.tar.gz | 41.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jaxkineticmodel-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 87.7 kB
Release files / jaxkineticmodel-0.0.4.tar.gz
| Download URL | jaxkineticmodel-0.0.4.tar.gz |
|---|---|
| Size | 41.7 kB |
| Tags | Source |
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Release files / jaxkineticmodel-0.0.4-py3-none-any.whl
| Download URL | jaxkineticmodel-0.0.4-py3-none-any.whl |
|---|---|
| Size | 45.9 kB |
| Tags | Python 3 |
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