SuSha: A multi-model ensemble learning framework for predicting microbial salinity adaptation
- DOI
- 10.1016/j.engmic.2026.100292
- Published
- 2026-09
- Container
- Engineering Microbiology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.engmic.2026.100292,
title = {SuSha: A multi-model ensemble learning framework for predicting microbial salinity adaptation},
author = {Siwei Ren and Shijie Ren and Hongjian Chen and Wenhao Zhang and Tao Zhang and Hengyao Chong and Zihao Wang and Weiyu Cao and Xiaoyu Yong and Jun Zhou},
year = {2026},
journal = {Engineering Microbiology},
doi = {10.1016/j.engmic.2026.100292},
url = {https://doi.org/10.1016/j.engmic.2026.100292}
}RIS
TY - JOUR TI - SuSha: A multi-model ensemble learning framework for predicting microbial salinity adaptation AU - Siwei Ren AU - Shijie Ren AU - Hongjian Chen AU - Wenhao Zhang AU - Tao Zhang AU - Hengyao Chong AU - Zihao Wang AU - Weiyu Cao AU - Xiaoyu Yong AU - Jun Zhou PY - 2026 JO - Engineering Microbiology DO - 10.1016/j.engmic.2026.100292 UR - https://doi.org/10.1016/j.engmic.2026.100292 ER -
APA
Ren, S., Ren, S., Chen, H., Zhang, W., Zhang, T., Chong, H., Wang, Z., Cao, W., Yong, X., & Zhou, J. (2026). SuSha: A multi-model ensemble learning framework for predicting microbial salinity adaptation. Engineering Microbiology. https://doi.org/10.1016/j.engmic.2026.100292
Source records
- crossref · retrieved 2026-09-25T06:02:39.413Z