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Updated: Jan 11, 2026

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TMBclaw:瘤克隆意识图表学习改善了跨异构队列的免疫治疗反应预测

Yixuan Wang1, Tianyi Zhu2, Xiaofeng Song1

  • 1Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Jiangning, Nanjing 211106, Jiangsu, China.

Briefings in bioinformatics
|November 8, 2025
PubMed
概括

一种名为TMBclaw的新方法通过分析瘤突变负担和克隆异质性来改善免疫治疗反应的预测. 这种方法增强了患者分层,以获得更好的癌症治疗结果.

关键词:
在临床决策过程中.图表拉普拉斯规范化的图.多任务学习是多任务学习.瘤克隆异质性的异质性瘤突变负担 瘤突变负担

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