Journal article
Nature Communications, vol. 15, 2024 Jul 29, p. 6392
APA
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Ding, K., Chin, M., Zhao, Y., Huang, W., Mai, B. K., Wang, H., … Luo, Y. (2024). 228. Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineering. Nature Communications, 15, 6392. https://doi.org/10.1038/s41467-024-50698-y
Chicago/Turabian
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Ding, Kerr, Michael Chin, Yunlong Zhao, Wei Huang, Binh Khanh Mai, Huanan Wang, Peng Liu, Yang Yang, and Yunan Luo. “228. Machine Learning-Guided Co-Optimization of Fitness and Diversity Facilitates Combinatorial Library Design in Enzyme Engineering.” Nature Communications 15 (July 29, 2024): 6392.
MLA
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Ding, Kerr, et al. “228. Machine Learning-Guided Co-Optimization of Fitness and Diversity Facilitates Combinatorial Library Design in Enzyme Engineering.” Nature Communications, vol. 15, July 2024, p. 6392, doi:10.1038/s41467-024-50698-y.
BibTeX Click to copy
@article{ding2024a,
title = {228. Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineering},
year = {2024},
month = jul,
day = {29},
journal = {Nature Communications},
pages = {6392},
volume = {15},
doi = {10.1038/s41467-024-50698-y},
author = {Ding, Kerr and Chin, Michael and Zhao, Yunlong and Huang, Wei and Mai, Binh Khanh and Wang, Huanan and Liu, Peng and Yang, Yang and Luo, Yunan},
month_numeric = {7}
}