OASIS, a self-evolving AI scientist that integrates omics data and literature knowledge for plant stress research
- DOI
- 10.1016/j.molp.2026.09.005
- Published
- 2026-09
- Container
- Molecular Plant
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.molp.2026.09.005,
title = {OASIS, a self-evolving AI scientist that integrates omics data and literature knowledge for plant stress research},
author = {Yang Han and Hua Wei and Xianmeng Wang and Yilin Li and Zhipeng Zhang and Bingzhu Liu and Shuwen Wen and Nan Pan and Huiying He and Qian Qian and Lianguang Shang},
year = {2026},
journal = {Molecular Plant},
doi = {10.1016/j.molp.2026.09.005},
url = {https://doi.org/10.1016/j.molp.2026.09.005}
}RIS
TY - JOUR TI - OASIS, a self-evolving AI scientist that integrates omics data and literature knowledge for plant stress research AU - Yang Han AU - Hua Wei AU - Xianmeng Wang AU - Yilin Li AU - Zhipeng Zhang AU - Bingzhu Liu AU - Shuwen Wen AU - Nan Pan AU - Huiying He AU - Qian Qian AU - Lianguang Shang PY - 2026 JO - Molecular Plant DO - 10.1016/j.molp.2026.09.005 UR - https://doi.org/10.1016/j.molp.2026.09.005 ER -
APA
Han, Y., Wei, H., Wang, X., Li, Y., Zhang, Z., Liu, B., Wen, S., Pan, N., He, H., Qian, Q., & Shang, L. (2026). OASIS, a self-evolving AI scientist that integrates omics data and literature knowledge for plant stress research. Molecular Plant. https://doi.org/10.1016/j.molp.2026.09.005
Source records
- crossref · retrieved 2026-09-25T02:14:35.655Z