Order Article Reprints

Wang G, Li J, Wang S, Li Y, Chen S, Zhang L, Zhao T, Yin H, Jia S, Qiao C. Using Machine Learning Methods to Predict the ß-Poly (L-Malic Acid) Production by Different Substrates Addition and Secondary Indexes in Strain Aureobasidium melanogenum. Fermentation. 2022; 8(12):729. https://doi.org/10.3390/fermentation8120729

Wang, Genan, Jiaqian Li, Shuxian Wang, Yutong Li, Shiwei Chen, Lina Zhang, Tingbin Zhao, Haisong Yin, Shiru Jia, and Changsheng Qiao. 2022. "Using Machine Learning Methods to Predict the ß-Poly (L-Malic Acid) Production by Different Substrates Addition and Secondary Indexes in Strain Aureobasidium melanogenum" Fermentation 8, no. 12: 729. https://doi.org/10.3390/fermentation8120729

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 Aureobasidium melanogenum. Fermentation, 8(12), 729. https://doi.org/10.3390/fermentation8120729