Integrative machine learning of hypoxia and centrosome-related gene signatures enables prognostic stratification and therapeutic insights in lung adenocarcinoma
整合缺氧和中心体相关基因特征的机器学习方法能够为肺腺癌的预后分层和治疗提供指导
期刊:Translational Cancer Research
影响因子:1.7
doi:10.21037/tcr-2025-1594
Zhao, Zexia; Du, Hui; Jia, Chaoyi; Zhao, Wenhao; Huang, Hua; Hou, Sensen; Ding, Chen; Hu, Zixuan; Wang, Yanan; Li, Yongwen; Liu, Hongyu; Chen, Jun