From prediction to actionable mechanisms: Explainable multi‑omics AI for farm‑to‑fork postharvest preservation.

Ma P, Jia X, Fan B, Li B, Lin T, Sheng J, Wei CI, Lu Y, Ma Y, Chen L, Jiu S, Wang F

DOI: 10.1002/imt2.70139
Published: 2026 Jun
Container: iMeta
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/imt2.70139,
  title = {From prediction to actionable mechanisms: Explainable multi‑omics AI for farm‑to‑fork postharvest preservation.},
  author = {Ma P and Jia X and Fan B and Li B and Lin T and Sheng J and Wei CI and Lu Y and Ma Y and Chen L and Jiu S and Wang F},
  year = {2026},
  journal = {iMeta},
  doi = {10.1002/imt2.70139},
  url = {https://doi.org/10.1002/imt2.70139}
}

RIS

TY  - JOUR
TI  - From prediction to actionable mechanisms: Explainable multi‑omics AI for farm‑to‑fork postharvest preservation.
AU  - Ma P
AU  - Jia X
AU  - Fan B
AU  - Li B
AU  - Lin T
AU  - Sheng J
AU  - Wei CI
AU  - Lu Y
AU  - Ma Y
AU  - Chen L
AU  - Jiu S
AU  - Wang F
PY  - 2026
JO  - iMeta
DO  - 10.1002/imt2.70139
UR  - https://doi.org/10.1002/imt2.70139
ER  -

APA

P, M., X, J., B, F., B, L., T, L., J, S., CI, W., Y, L., Y, M., L, C., S, J., & F, W. (2026). From prediction to actionable mechanisms: Explainable multi‑omics AI for farm‑to‑fork postharvest preservation.. iMeta. https://doi.org/10.1002/imt2.70139

Source records

pubmed · retrieved 2026-09-25T01:42:56.453Z