Hu, H.; Zhang, J.; Zhang, L.; Li, T.; Li, M.; Li, J.; Wang, J.
Development of a Serum Proteomic-Based Diagnostic Model for Lung Cancer Using Machine Learning Algorithms and Unveiling the Role of SLC16A4 in Tumor Progression and Immune Response. Biomolecules 2025, 15, 1081.
https://doi.org/10.3390/biom15081081
AMA Style
Hu H, Zhang J, Zhang L, Li T, Li M, Li J, Wang J.
Development of a Serum Proteomic-Based Diagnostic Model for Lung Cancer Using Machine Learning Algorithms and Unveiling the Role of SLC16A4 in Tumor Progression and Immune Response. Biomolecules. 2025; 15(8):1081.
https://doi.org/10.3390/biom15081081
Chicago/Turabian Style
Hu, Hanqin, Jiaxin Zhang, Lisha Zhang, Tiancan Li, Miaomiao Li, Jianxiang Li, and Jin Wang.
2025. "Development of a Serum Proteomic-Based Diagnostic Model for Lung Cancer Using Machine Learning Algorithms and Unveiling the Role of SLC16A4 in Tumor Progression and Immune Response" Biomolecules 15, no. 8: 1081.
https://doi.org/10.3390/biom15081081
APA Style
Hu, H., Zhang, J., Zhang, L., Li, T., Li, M., Li, J., & Wang, J.
(2025). Development of a Serum Proteomic-Based Diagnostic Model for Lung Cancer Using Machine Learning Algorithms and Unveiling the Role of SLC16A4 in Tumor Progression and Immune Response. Biomolecules, 15(8), 1081.
https://doi.org/10.3390/biom15081081