https://github.com/grfrederic/identifiability

Supplementary code for studying non-identifiable models using MCMC simulations used in the research article "Predictive power of non-identifiable models".
https://github.com/grfrederic/identifiability

bayesian mcmc non-identifiability ode systems-biology

Last synced: about 1 month ago
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Supplementary code for studying non-identifiable models using MCMC simulations used in the research article "Predictive power of non-identifiable models".

• Host: GitHub
• URL: https://github.com/grfrederic/identifiability
• Owner: grfrederic
• License: bsd-3-clause
• Created: 2023-02-06T13:06:25.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-10-23T09:50:21.000Z (about 1 year ago)
• Last Synced: 2024-02-03T01:49:08.382Z (12 months ago)
• Topics: bayesian, mcmc, non-identifiability, ode, systems-biology
• Language: Jupyter Notebook
• Homepage:
• Size: 42 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## identifiability

Supplementary code used in the research article "[Predictive power of non-identifiable models](https://doi.org/10.1038/s41598-023-37939-8)" published in *Scientific Reports* (2023).

### Overview

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.

### Requirements

For a list of Python modules see `requirements.txt`.

### License

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