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综合可解释的机器学习和多omics分析用于癌症的生存预测与免疫疗法反应

Alphonse Houssou Hounye1, Li Xiong2, Muzhou Hou3

  • 1General surgery department of Second Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China. hounyeal@csu.edu.cn.

Apoptosis : an international journal on programmed cell death
|December 5, 2024
PubMed
概括

这项研究引入了NKECLR模型,使用自然杀手细胞标记基因来预测黑色素瘤癌患者的生存率和治疗结果. 该模型有助于理解免疫细胞透,并改善癌症死亡率预测.

关键词:
生物信息学是一种生物信息学.细胞细胞的通信.免疫治疗是一种免疫疗法.机器倾斜的倾斜方式在NK细胞标记基因的基因.胰腺癌是一种癌症.单细胞RNA测序的测序方法

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