jax-smfsb: A Python library for stochastic systems biology modelling and inference

Python Submitted 19 September 2024Published 05 February 2025
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Editor: @jromanowska (all papers)
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Authors

Darren J. Wilkinson

Citation

Wilkinson, D. J., (2025). jax-smfsb: A Python library for stochastic systems biology modelling and inference. Journal of Open Source Software, 10(106), 7491, https://doi.org/10.21105/joss.07491

@article{Wilkinson2025, doi = {10.21105/joss.07491}, url = {https://doi.org/10.21105/joss.07491}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {106}, pages = {7491}, author = {Darren J. Wilkinson}, title = {jax-smfsb: A Python library for stochastic systems biology modelling and inference}, journal = {Journal of Open Source Software} }
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JAX systems biology stochastic modelling reaction networks SBML Gillespie algorithm Bayesian inference high-performance parallel GPU reaction-diffusion

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ISSN 2475-9066