Python scripts used to simulate the model and calculate Pareto sets from paper "How to design an optimal sensor network for the unfolded protein response" [Mol Biol Cell 29 (2018), 3052-3062]. All codes were run using Python, version 2.7. This code was originally created by Wylie Stroberg. For more information, we recommend to read the paper on: https://www.molbiolcell.org/doi/10.1091/mbc.E18-01-0060 If you use our code, please cite our manuscript.
-
Notifications
You must be signed in to change notification settings - Fork 0
Python scripts used to simulate the model and calculate Pareto sets from paper "How to design an optimal sensor network for the unfolded protein response" [Mol Biol Cell 29 (2018), 3052-3062]. All codes were run using Python, version 2.7.
License
santiago-schnell/Pareto-UPR-Feedback-Control
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Python scripts used to simulate the model and calculate Pareto sets from paper "How to design an optimal sensor network for the unfolded protein response" [Mol Biol Cell 29 (2018), 3052-3062]. All codes were run using Python, version 2.7.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published