Integrative metabolomics and machine learning reveal diagnostic biomarkers for gelsenicine intoxication.

Zhai J, Jiang C, Yan H, Jin M, Xie B, Yu F, Ding Y, Ma C, Cong B, Wen D

Open source

DOI
10.1016/j.jep.2025.121022
Published
2026 Mar 1
Container
Journal of ethnopharmacology
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.jep.2025.121022,
  title = {Integrative metabolomics and machine learning reveal diagnostic biomarkers for gelsenicine intoxication.},
  author = {Zhai J and Jiang C and Yan H and Jin M and Xie B and Yu F and Ding Y and Ma C and Cong B and Wen D},
  year = {2026},
  journal = {Journal of ethnopharmacology},
  doi = {10.1016/j.jep.2025.121022},
  url = {https://doi.org/10.1016/j.jep.2025.121022}
}

RIS

TY  - JOUR
TI  - Integrative metabolomics and machine learning reveal diagnostic biomarkers for gelsenicine intoxication.
AU  - Zhai J
AU  - Jiang C
AU  - Yan H
AU  - Jin M
AU  - Xie B
AU  - Yu F
AU  - Ding Y
AU  - Ma C
AU  - Cong B
AU  - Wen D
PY  - 2026
JO  - Journal of ethnopharmacology
DO  - 10.1016/j.jep.2025.121022
UR  - https://doi.org/10.1016/j.jep.2025.121022
ER  - 

APA

J, Z., C, J., H, Y., M, J., B, X., F, Y., Y, D., C, M., B, C., & D, W. (2026). Integrative metabolomics and machine learning reveal diagnostic biomarkers for gelsenicine intoxication.. Journal of ethnopharmacology. https://doi.org/10.1016/j.jep.2025.121022

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