Machine learning-guided multimodal analysis of APAF1-associated tumor microenvironment features prioritizes morellic acid for gastric cancer
- DOI
- 10.1016/j.phymed.2026.158895
- Published
- 2026-11
- Container
- Phytomedicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.phymed.2026.158895,
title = {Machine learning-guided multimodal analysis of APAF1-associated tumor microenvironment features prioritizes morellic acid for gastric cancer},
author = {Buyun Jia and Biaobiao Yan and Shanshan Li and Jianhua Yang and Zhen Cheng and Xuemei Zhou and Wenchao Song and Xinghui Hong and Shengxi Chen and Ziyin Wu and Haiyang Sheng and Yinfeng Yang and Fan Xu and Jinghui Wang},
year = {2026},
journal = {Phytomedicine},
doi = {10.1016/j.phymed.2026.158895},
url = {https://doi.org/10.1016/j.phymed.2026.158895}
}RIS
TY - JOUR TI - Machine learning-guided multimodal analysis of APAF1-associated tumor microenvironment features prioritizes morellic acid for gastric cancer AU - Buyun Jia AU - Biaobiao Yan AU - Shanshan Li AU - Jianhua Yang AU - Zhen Cheng AU - Xuemei Zhou AU - Wenchao Song AU - Xinghui Hong AU - Shengxi Chen AU - Ziyin Wu AU - Haiyang Sheng AU - Yinfeng Yang AU - Fan Xu AU - Jinghui Wang PY - 2026 JO - Phytomedicine DO - 10.1016/j.phymed.2026.158895 UR - https://doi.org/10.1016/j.phymed.2026.158895 ER -
APA
Jia, B., Yan, B., Li, S., Yang, J., Cheng, Z., Zhou, X., Song, W., Hong, X., Chen, S., Wu, Z., Sheng, H., Yang, Y., Xu, F., & Wang, J. (2026). Machine learning-guided multimodal analysis of APAF1-associated tumor microenvironment features prioritizes morellic acid for gastric cancer. Phytomedicine. https://doi.org/10.1016/j.phymed.2026.158895
Source records
- crossref · retrieved 2026-11-09T07:42:41.967Z