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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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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: 2022-02-25
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1073/pnas.2201078119
 Degree: -

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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