Using Machine Learning Methods to Predict the ß-Poly (L-Malic Acid) Production by Different Substrates Addition and Secondary Indexes in Strain <i>Aureobasidium melanogenum</i>
- DOI
- 10.3390/fermentation8120729
- Published
- 12
- Container
- Fermentation
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/fermentation8120729,
title = {Using Machine Learning Methods to Predict the ß-Poly (L-Malic Acid) Production by Different Substrates Addition and Secondary Indexes in Strain <i>Aureobasidium melanogenum</i>},
author = {Genan Wang and Jiaqian Li and Shuxian Wang and Yutong Li and Shiwei Chen and Lina Zhang and Tingbin Zhao and Haisong Yin and Shiru Jia and Changsheng Qiao},
year = {2022},
journal = {Fermentation},
doi = {10.3390/fermentation8120729},
url = {https://doi.org/10.3390/fermentation8120729}
}RIS
TY - JOUR TI - Using Machine Learning Methods to Predict the ß-Poly (L-Malic Acid) Production by Different Substrates Addition and Secondary Indexes in Strain <i>Aureobasidium melanogenum</i> AU - Genan Wang AU - Jiaqian Li AU - Shuxian Wang AU - Yutong Li AU - Shiwei Chen AU - Lina Zhang AU - Tingbin Zhao AU - Haisong Yin AU - Shiru Jia AU - Changsheng Qiao PY - 2022 JO - Fermentation DO - 10.3390/fermentation8120729 UR - https://doi.org/10.3390/fermentation8120729 ER -
APA
Wang, G., Li, J., Wang, S., Li, Y., Chen, S., Zhang, L., Zhao, T., Yin, H., Jia, S., & Qiao, C. (2022). Using Machine Learning Methods to Predict the ß-Poly (L-Malic Acid) Production by Different Substrates Addition and Secondary Indexes in Strain <i>Aureobasidium melanogenum</i>. Fermentation. https://doi.org/10.3390/fermentation8120729
Source records
- doaj · retrieved 2026-09-26T16:46:31.015Z