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.
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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.
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santiago-schnell/Pareto-UPR-Feedback-Control
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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.
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