Automated Model Reduction Tool for SBML models

Python toolbox to automatically obtain reduced model expressions using time-scale separation, conservation laws, and other assumptions.

Refer to the bioRxiv paper for more details. To run - Go through tutorial files inside tutorials folder then check out some common examples in the examples folder. To check if different tools are working properly, run tests. Contact : Ayush Pandey (apandet at caltech dot edu) for any feedback or suggestions.

• Website: https://github.com/ayush9pandey/AutoReduce
• Paper: Journal of Robust and Nonlinear Control
• Source: https://github.com/ayush9pandey/autoreduce
• Bug reports: https://github.com/ayush9pandey/autoreduce/issues
• Documentation: Coming Soon on: autoreduce.readthedocs.io

Installation

Install the latest version of AutoReduce::

$ pip install autoreduce 

Install with all optional dependencies::

$ pip install autoreduce[all]

Bugs

Report any bugs that you find here. You can also fork the repository on GitHub, and the create a pull request (PR) with any changes. We welcome all changes, big or small, and we will help you make the PR if you are new to git (just create a new issue)

Versions

AutoReduce versions:

• 0.2.0 (alpha release): To install run pip install autoreduce=0.2.0
• 0.1.0 (alpha release): To install run pip install autoreduce==0.1.0

License

Released under the BSD 3-Clause License (see LICENSE)

Copyright (c) 2022, Ayush Pandey. All rights reserved.