Genetic algorithm-guided sample design enables efficient machine learning-driven optimization of tauroursodeoxycholic acid production in engineered Escherichia coli
- DOI
- 10.1016/j.biortech.2026.135434
- Published
- 2026-12
- Container
- Bioresource Technology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.biortech.2026.135434,
title = {Genetic algorithm-guided sample design enables efficient machine learning-driven optimization of tauroursodeoxycholic acid production in engineered Escherichia coli},
author = {Chenghan Li and Lina Jin and Li Yang and Shujuan Zhao and Zhengtao Wang},
year = {2026},
journal = {Bioresource Technology},
doi = {10.1016/j.biortech.2026.135434},
url = {https://doi.org/10.1016/j.biortech.2026.135434}
}RIS
TY - JOUR TI - Genetic algorithm-guided sample design enables efficient machine learning-driven optimization of tauroursodeoxycholic acid production in engineered Escherichia coli AU - Chenghan Li AU - Lina Jin AU - Li Yang AU - Shujuan Zhao AU - Zhengtao Wang PY - 2026 JO - Bioresource Technology DO - 10.1016/j.biortech.2026.135434 UR - https://doi.org/10.1016/j.biortech.2026.135434 ER -
APA
Li, C., Jin, L., Yang, L., Zhao, S., & Wang, Z. (2026). Genetic algorithm-guided sample design enables efficient machine learning-driven optimization of tauroursodeoxycholic acid production in engineered Escherichia coli. Bioresource Technology. https://doi.org/10.1016/j.biortech.2026.135434
Source records
- crossref · retrieved 2026-09-27T01:11:23.900Z