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Comment
. 2022 Mar 1;119(9):e2201078119.
doi: 10.1073/pnas.2201078119.

Metabolomic selection-based machine learning improves fruit taste prediction

Alisdair R Fernie  1   2 , Saleh Alseekh  3   2
Affiliations
Comment

Metabolomic selection-based machine learning improves fruit taste prediction

Alisdair R Fernie et al. Proc Natl Acad Sci U S A. .
No abstract available

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Conflict of interest statement

The authors declare no competing interest.

Figures

Fig. 1.
Fig. 1.
Metabolic-based prediction model in tomato and blueberry. The weighted correlation network analysis of tomato and blueberry metabolites and their clusters is based on biochemical classification. Eighteen statistical and machine learning methods were used to predict fruit flavor based on its chemistry.
See this image and copyright information in PMC

Comment on

  • Metabolomic selection for enhanced fruit flavor.
    Colantonio V, Ferrão LFV, Tieman DM, Bliznyuk N, Sims C, Klee HJ, Munoz P, Resende MFR Jr. Colantonio V, et al. Proc Natl Acad Sci U S A. 2022 Feb 15;119(7):e2115865119. doi: 10.1073/pnas.2115865119. Proc Natl Acad Sci U S A. 2022. PMID: 35131943 Free PMC article.

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    1. Colantonio V., et al. , Metabolomic selection for enhanced fruit flavor. Proc. Natl. Acad. Sci. U.S.A., 10.1073/pnas.2115865119 (2022). - DOI - PMC - PubMed
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