A novel deep learning-based peak detection technique for in vivo metabolite analysis of triterpenoids from Eleutherococcus senticosus leaves in Parkinson's disease mice
- DOI
- 10.1016/j.talanta.2026.130904
- Published
- 2027-04
- Container
- Talanta
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.talanta.2026.130904,
title = {A novel deep learning-based peak detection technique for in vivo metabolite analysis of triterpenoids from Eleutherococcus senticosus leaves in Parkinson's disease mice},
author = {Tiantian Wen and Wei Guan and Shiqi Xu and Xu Yang and Yanying Li and Hao Wang and Peng Jiang and Qingshan Chen and Lili Zhang and Quanyong Wang and Haixue Kuang and Shu Liu and Yan Liu},
year = {2027},
journal = {Talanta},
doi = {10.1016/j.talanta.2026.130904},
url = {https://doi.org/10.1016/j.talanta.2026.130904}
}RIS
TY - JOUR TI - A novel deep learning-based peak detection technique for in vivo metabolite analysis of triterpenoids from Eleutherococcus senticosus leaves in Parkinson's disease mice AU - Tiantian Wen AU - Wei Guan AU - Shiqi Xu AU - Xu Yang AU - Yanying Li AU - Hao Wang AU - Peng Jiang AU - Qingshan Chen AU - Lili Zhang AU - Quanyong Wang AU - Haixue Kuang AU - Shu Liu AU - Yan Liu PY - 2027 JO - Talanta DO - 10.1016/j.talanta.2026.130904 UR - https://doi.org/10.1016/j.talanta.2026.130904 ER -
APA
Wen, T., Guan, W., Xu, S., Yang, X., Li, Y., Wang, H., Jiang, P., Chen, Q., Zhang, L., Wang, Q., Kuang, H., Liu, S., & Liu, Y. (2027). A novel deep learning-based peak detection technique for in vivo metabolite analysis of triterpenoids from Eleutherococcus senticosus leaves in Parkinson's disease mice. Talanta. https://doi.org/10.1016/j.talanta.2026.130904
Source records
- crossref · retrieved 2026-11-08T04:23:32.555Z