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Building, simulating, and training systems biology models using JAX/Diffrax

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AbeelLab/jaxkineticmodel

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Jax Kinetic Models

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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Building, simulating, and training systems biology models using JAX/Diffrax

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