Zhao, S.; Zhang, H.; Mu, Q.; Jiang, Y.; Zhao, X.; Wang, K.; Shi, Y.; Li, X.; Sun, D.
Integrative Single-Cell and Machine Learning Analysis Identifies a Nucleotide Metabolism-Related Signature Predicting Prognosis and Immunotherapy Response in LUAD. Cancers 2026, 18, 160.
https://doi.org/10.3390/cancers18010160
AMA Style
Zhao S, Zhang H, Mu Q, Jiang Y, Zhao X, Wang K, Shi Y, Li X, Sun D.
Integrative Single-Cell and Machine Learning Analysis Identifies a Nucleotide Metabolism-Related Signature Predicting Prognosis and Immunotherapy Response in LUAD. Cancers. 2026; 18(1):160.
https://doi.org/10.3390/cancers18010160
Chicago/Turabian Style
Zhao, Shuai, Han Zhang, Qiuqiao Mu, Yuhang Jiang, Xiaojiang Zhao, Kai Wang, Ying Shi, Xin Li, and Daqiang Sun.
2026. "Integrative Single-Cell and Machine Learning Analysis Identifies a Nucleotide Metabolism-Related Signature Predicting Prognosis and Immunotherapy Response in LUAD" Cancers 18, no. 1: 160.
https://doi.org/10.3390/cancers18010160
APA Style
Zhao, S., Zhang, H., Mu, Q., Jiang, Y., Zhao, X., Wang, K., Shi, Y., Li, X., & Sun, D.
(2026). Integrative Single-Cell and Machine Learning Analysis Identifies a Nucleotide Metabolism-Related Signature Predicting Prognosis and Immunotherapy Response in LUAD. Cancers, 18(1), 160.
https://doi.org/10.3390/cancers18010160
