A simulation-free constrained regression approach for flux estimation in 
isotopically nonstationary metabolic flux analysis with applications in 
microalgae

Küken, A.; Treves, Haim; Nikoloski, Z.

doi:10.3389/fpls.2023.1140829

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A simulation-free constrained regression approach for flux estimation in isotopically nonstationary metabolic flux analysis with applications in microalgae

Küken, A., Treves, H., & Nikoloski, Z. (2023). A simulation-free constrained regression approach for flux estimation in isotopically nonstationary metabolic flux analysis with applications in microalgae. Frontiers in Plant Science, 14: 1140829. doi:10.3389/fpls.2023.1140829.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-EBCE-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-FA40-1

Genre: Journal Article

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Creators:
Küken, A.¹, Author
Treves, Haim, Author
Nikoloski, Z.¹, Author

Affiliations:
1Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753310

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Language(s): eng - English

Dates: Published Online: 2023-11Date issued: 2023-11

Publication Status: Issued

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Identifiers: DOI: 10.3389/fpls.2023.1140829

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Title: Frontiers in Plant Science

Abbreviation : Front. Plant Sci.

Source Genre: Journal

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Publ. Info: Lausanne : Frontiers Media

Pages: - Volume / Issue: 14 Sequence Number: 1140829 Start / End Page: - Identifier: ISSN: 1664-462X
CoNE: https://pure.mpg.de/cone/journals/resource/1664462X