Hou, X.-W.; Yang, J.-L.-X.; Li, D.-L.; Tao, Y.-J.; Ke, C.-F.; Zhang, B.; Liu, S.; Cheng, T.-Y.; Wang, T.-X.; Xu, X.;
et al. Machine Learning-Based Integration of Metabolomics Characterisation Predicts Progression of Myopic Retinopathy in Children and Adolescents. Metabolites 2023, 13, 301.
https://doi.org/10.3390/metabo13020301
AMA Style
Hou X-W, Yang J-L-X, Li D-L, Tao Y-J, Ke C-F, Zhang B, Liu S, Cheng T-Y, Wang T-X, Xu X,
et al. Machine Learning-Based Integration of Metabolomics Characterisation Predicts Progression of Myopic Retinopathy in Children and Adolescents. Metabolites. 2023; 13(2):301.
https://doi.org/10.3390/metabo13020301
Chicago/Turabian Style
Hou, Xiao-Wen, Jin-Liu-Xing Yang, Dan-Lin Li, Yi-Jin Tao, Chao-Fu Ke, Bo Zhang, Shang Liu, Tian-Yu Cheng, Tian-Xiao Wang, Xun Xu,
and et al. 2023. "Machine Learning-Based Integration of Metabolomics Characterisation Predicts Progression of Myopic Retinopathy in Children and Adolescents" Metabolites 13, no. 2: 301.
https://doi.org/10.3390/metabo13020301
APA Style
Hou, X. -W., Yang, J. -L. -X., Li, D. -L., Tao, Y. -J., Ke, C. -F., Zhang, B., Liu, S., Cheng, T. -Y., Wang, T. -X., Xu, X., He, X. -G., & Pan, C. -W.
(2023). Machine Learning-Based Integration of Metabolomics Characterisation Predicts Progression of Myopic Retinopathy in Children and Adolescents. Metabolites, 13(2), 301.
https://doi.org/10.3390/metabo13020301
