An Interpretable Ensemble-Learning Framework for Decoding Multi-Component–Multi-Bioactivity Relationships in Salvia miltiorrhiza Based on 1H NMR Metabolomics and Lifecycle-Oriented Bioassays
- DOI
- 10.3390/metabo16100798
- Published
- 2026-10-21
- Container
- Metabolites
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/metabo16100798,
title = {An Interpretable Ensemble-Learning Framework for Decoding Multi-Component–Multi-Bioactivity Relationships in Salvia miltiorrhiza Based on 1H NMR Metabolomics and Lifecycle-Oriented Bioassays},
author = {Wenzhu Li and Shasha Li and Hang Yu and Xiaozhou Zou and Yichao Lu and Zhiyan Chen and Nan Wang and Jiana Shi and Kaiyue Ji and Ping Huang},
year = {2026},
journal = {Metabolites},
doi = {10.3390/metabo16100798},
url = {https://doi.org/10.3390/metabo16100798}
}RIS
TY - JOUR TI - An Interpretable Ensemble-Learning Framework for Decoding Multi-Component–Multi-Bioactivity Relationships in Salvia miltiorrhiza Based on 1H NMR Metabolomics and Lifecycle-Oriented Bioassays AU - Wenzhu Li AU - Shasha Li AU - Hang Yu AU - Xiaozhou Zou AU - Yichao Lu AU - Zhiyan Chen AU - Nan Wang AU - Jiana Shi AU - Kaiyue Ji AU - Ping Huang PY - 2026 JO - Metabolites DO - 10.3390/metabo16100798 UR - https://doi.org/10.3390/metabo16100798 ER -
APA
Li, W., Li, S., Yu, H., Zou, X., Lu, Y., Chen, Z., Wang, N., Shi, J., Ji, K., & Huang, P. (2026). An Interpretable Ensemble-Learning Framework for Decoding Multi-Component–Multi-Bioactivity Relationships in Salvia miltiorrhiza Based on 1H NMR Metabolomics and Lifecycle-Oriented Bioassays. Metabolites. https://doi.org/10.3390/metabo16100798
Source records
- crossref · retrieved 2026-11-10T09:15:30.707Z