Optimization of a synthetic carbon fixation cycle using machine learning

Bae, Young Jun

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Optimization of a synthetic carbon fixation cycle using machine learning

Bae, Y. J. (2022). Optimization of a synthetic carbon fixation cycle using machine learning. Master Thesis, Friedrich-Schiller-Universität Jena, Jena.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-9667-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-587E-4

Genre: Thesis

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Creators:
Bae, Young Jun¹, Author

Affiliations:
1Understanding and Building Metabolism, Department of Biochemistry and Synthetic Metabolism, Max Planck Institute for Terrestrial Microbiology, Max Planck Society, Karl-von-Frisch-Strasse 10, D-35043 Marburg, DE, ou_3266303

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Language(s): eng - English

Dates: Accepted: 2022Date issued: 2022

Publication Status: Issued

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Publishing info: Jena : Friedrich-Schiller-Universität Jena

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Degree: Master

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