Metabolomic selection–based machine learning improves fruit taste prediction

Fernie, A. R.; Alseekh, S.

doi:10.1073/pnas.2201078119

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Metabolomic selection–based machine learning improves fruit taste prediction

Fernie, A. R., & Alseekh, S. (2022). Metabolomic selection–based machine learning improves fruit taste prediction. Proceedings of the National Academy of Sciences of the United States of America, 199(9): e2201078119. doi:10.1073/pnas.2201078119.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-2EBA-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-2EBC-0

Genre: Journal Article

Alternative Title : Proceedings of the National Academy of Sciences of the United States of America

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Creators:
Fernie, A. R.¹, Author
Alseekh, S.¹, Author

Affiliations:
1Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339

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Language(s): eng - English

Dates: Date issued: 2022-02-25

Publication Status: Issued

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Identifiers: DOI: 10.1073/pnas.2201078119

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Title: Proceedings of the National Academy of Sciences of the United States of America

Other : PNAS

Other : Proceedings of the National Academy of Sciences of the USA

Abbreviation : Proc. Natl. Acad. Sci. U. S. A.

Source Genre: Journal

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Publ. Info: Washington, D.C. : National Academy of Sciences

Pages: - Volume / Issue: 199 (9) Sequence Number: e2201078119 Start / End Page: - Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230