Machine learning-derived natural killer cell signature predicts prognosis and therapeutic response in clear cell renal cell carcinoma

MLA

Jinchen Luo, et al. “Machine Learning-Derived Natural Killer Cell Signature Predicts Prognosis and Therapeutic Response in Clear Cell Renal Cell Carcinoma.” Translational Oncology, vol. 51, no. 102180-, Jan. 2025. EBSCOhost, https://doi.org/10.1016/j.tranon.2024.102180.

APA

Jinchen Luo, Mingjie Lin, Minyu Chen, Jinwei Chen, Xinwei Zhou, Kezhi Liu, Yanping Liang, Jiajie Chen, Hui Liang, Zhu Wang, Qiong Deng, Jieyan Wang, Meiyu Jin, Junhang Luo, Wei Chen, & Junjie Cen. (2025). Machine learning-derived natural killer cell signature predicts prognosis and therapeutic response in clear cell renal cell carcinoma. Translational Oncology, 51(102180-). https://doi.org/10.1016/j.tranon.2024.102180

Chicago

Jinchen Luo, Mingjie Lin, Minyu Chen, Jinwei Chen, Xinwei Zhou, Kezhi Liu, Yanping Liang, et al. 2025. “Machine Learning-Derived Natural Killer Cell Signature Predicts Prognosis and Therapeutic Response in Clear Cell Renal Cell Carcinoma.” Translational Oncology 51 (102180-). doi:10.1016/j.tranon.2024.102180.