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Examples

The following examples should help to get a better idea of how to use pyABC.

examples/parameter_inference.ipynb examples/model_selection.ipynb examples/early_stopping.ipynb examples/resuming.ipynb examples/using_R.ipynb examples/conversion_reaction.ipynb examples/chemical_reaction.ipynb examples/multiscale_agent_based.ipynb examples/sde_ion_channels.ipynb examples/adaptive_distances.ipynb examples/informative.ipynb examples/aggregated_distances.ipynb examples/external_simulators.ipynb examples/data_plots.ipynb examples/noise.ipynb examples/petab_yaml2sbml.ipynb examples/petab_application.ipynb examples/discrete_parameters.ipynb examples/look_ahead.ipynb

Download the examples as notebooks

  • Parameter inference <examples/parameter_inference.ipynb>
  • Model selection <examples/model_selection.ipynb>
  • Early stopping of model simulations <examples/early_stopping.ipynb>
  • Resuming stored ABC runs <examples/resuming.ipynb>
  • Using R with pyABC <examples/using_R.ipynb>
  • Ordinary Differential Equations: Conversion Reaction <examples/conversion_reaction.ipynb>
  • Markov Jump Process: Reaction Network <examples/chemical_reaction.ipynb>
  • Multi-scale model: Tumor spheroid growth <examples/multiscale_agent_based.ipynb>
  • Stochastic Differential Equation: Ion channel noise in Hodgkin-Huxley neurons <examples/sde_ion_channels.ipynb>
  • Adaptive Distances <examples/adaptive_distances.ipynb>
  • Informative Distances and Summary Statistics <examples/informative.ipynb>
  • Aggregated Distances <examples/aggregated_distances.ipynb>
  • External Simulators <examples/external_simulators.ipynb>
  • Data plots <examples/data_plots.ipynb>
  • Measurement noise and exact inference <examples/noise.ipynb>
  • PEtab import and yaml2sbml <examples/petab_yaml2sbml.ipynb>
  • PEtab application example <examples/petab_application.ipynb>
  • Discrete parameters <examples/discrete_parameters.ipynb>
  • Look-ahead sampling <examples/look_ahead.ipynb>

Warning

Upgrade to the latest pyABC version before running the examples. If you installed pyABC some weeks (or days) a ago, some new features might have been added in the meantime. Refer to the upgrading section on how to upgrade pyABC.