Article Versions Notes

Li S, Shen Y, Gao M, Song H, Ge Z, Zhang Q, Xu J, Wang Y, Sun H. Machine Learning Models for Predicting Bioavailability of Traditional and Emerging Aromatic Contaminants in Plant Roots. Toxics. 2024; 12(10):737. https://doi.org/10.3390/toxics12100737

Li, Siyuan, Yuting Shen, Meng Gao, Huatai Song, Zhanpeng Ge, Qiuyue Zhang, Jiaping Xu, Yu Wang, and Hongwen Sun. 2024. "Machine Learning Models for Predicting Bioavailability of Traditional and Emerging Aromatic Contaminants in Plant Roots" Toxics 12, no. 10: 737. https://doi.org/10.3390/toxics12100737

Li, S., Shen, Y., Gao, M., Song, H., Ge, Z., Zhang, Q., Xu, J., Wang, Y., & Sun, H. (2024). Machine Learning Models for Predicting Bioavailability of Traditional and Emerging Aromatic Contaminants in Plant Roots. Toxics, 12(10), 737. https://doi.org/10.3390/toxics12100737