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Supplementary code used in the research article "Predictive power of non-identifiable models" published in Scientific Reports (2023).

The identifiability module contains definitions of studied models, utils for running MCMC and ODE solver configurations. The two notebooks (generate data.ipynb, generate figures.ipynb) were used to generate figures presented in the article.

For a list of Python modules see requirements.txt.

The code is open source under the 3-Clause BSD license (see file LICENSE or visit https://opensource.org/licenses/BSD-3-Clause).