Python based automated model reduction tools for SBML models
Project description
# Automated Model Reduction Tool for SBML models ## Python toolbox to automatically obtain reduced model expressions using time-scale separation, conservation laws, and other assumptions.
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Refer to the [bioRxiv paper](https://www.biorxiv.org/content/10.1101/2020.02.15.950840v2.full.pdf) 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.
Paper: [Introduction](https://www.biorxiv.org/content/10.1101/640276v1.full), [Toolbox](https://www.biorxiv.org/content/10.1101/2020.02.15.950840v2.full.pdf)
Bug reports: https://github.com/ayush9pandey/autoreduce/issues
Documentation: Coming Soon on: [autoreduce.readthedocs.io](https://readthedocs.org/projects/autoreduce/)
# Simple example
# 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](https://github.com/ayush9pandey/autoreduce/issues). You can also fork the repository on [GitHub](https://github.com/ayush9pandey/autoreduce), 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:
0.1.0 (alpha release): To install run pip install autoreduce==0.1.0
# License Released under the BSD 3-Clause License (see LICENSE)
Copyright (c) 2020, Ayush Pandey. All rights reserved.
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