Order Article Reprints

Zhang Y, Li Y, Li Y, Zhao L, Yang Y. Interpretable Machine Learning Models and Symbolic Regressions Reveal Transfer of Per- and Polyfluoroalkyl Substances (PFASs) in Plants: A New Small-Data Machine Learning Method to Augment Data and Obtain Predictive Equations. Toxics. 2025; 13(7):579. https://doi.org/10.3390/toxics13070579

Zhang, Yuan, Yanting Li, Yang Li, Lin Zhao, and Yongkui Yang. 2025. "Interpretable Machine Learning Models and Symbolic Regressions Reveal Transfer of Per- and Polyfluoroalkyl Substances (PFASs) in Plants: A New Small-Data Machine Learning Method to Augment Data and Obtain Predictive Equations" Toxics 13, no. 7: 579. https://doi.org/10.3390/toxics13070579

Zhang, Y., Li, Y., Li, Y., Zhao, L., & Yang, Y. (2025). Interpretable Machine Learning Models and Symbolic Regressions Reveal Transfer of Per- and Polyfluoroalkyl Substances (PFASs) in Plants: A New Small-Data Machine Learning Method to Augment Data and Obtain Predictive Equations. Toxics, 13(7), 579. https://doi.org/10.3390/toxics13070579