# Examples¶

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

- Parameter inference
- Model selection
- Early stopping of model simulations
- Resuming stored ABC runs
- Using R with pyABC
- Ordinary Differential Equations: Conversion Reaction
- Markov Jump Process: Reaction Network
- Multi-scale model: Tumor spheroid growth
- Stochastic Differential Equation: Ion channel noise in Hodgkin-Huxley neurons
- Adaptive Distances
- Aggregating and weighting diverse data
- Script based external simulators
- Data plots
- Noise
- PEtab import and yaml2sbml
- PEtab application example
- Discrete parameters

## Download the examples as notebooks¶

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.