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Machine learning-supported cybergenetic modeling, optimization and control for synthetic microbial communities

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Espinel-Rios,  Sebastian
Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Bettenbrock,  Katja       
Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Klamt,  Steffen
Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Espinel-Rios, S., Bettenbrock, K., Klamt, S., Avalos, J. L., & Findeisen, R. (2023). Machine learning-supported cybergenetic modeling, optimization and control for synthetic microbial communities. In A. Kokossis, M. C. Georgiadis, & E. Pistikopoulos (Eds.), 33rd European Symposium on Computer Aided Chemical Engineering (pp. 2601-2606). Amsterdam, Netherlands: Elsevier.


Cite as: https://hdl.handle.net/21.11116/0000-000D-BCD4-0
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