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Updated: Jul 29, 2025

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TMBserval:一个统计可解释的学习模型揭示了加权的瘤突变负担,更好地分类治疗效益

Yixuan Wang1, Jiayin Wang2, Wenfeng Fang3

  • 1Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.

Frontiers in immunology
|May 26, 2023
PubMed
概括

高瘤突变负担 (TMB) 预测免疫检查点抑制剂 (ICI) 反应. 这项研究将TMB精细化为多维特征,以更好地预测免疫疗法,扩大患者的资格.

关键词:
类别性的决策.临床免疫学临床免疫学模型校准模型的校准.多维瘤突变负担是多维的多个实例的学习学习多个实例的学习.统计学解释性是可以解释的.

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