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Updated: Jan 18, 2026

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TMBquant:一个可解释的人工智能驱动的呼叫者,在异质样本中推进瘤突变负担量化.

Shenjie Wang1,2,3, Xiaonan Wang2,4, Xiaoyan Zhu2,3

  • 1Department of Respiratory Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157, Xiwu Road, Xincheng District, Xi'an 710004, China.

Briefings in bioinformatics
|September 8, 2025
PubMed
概括

TMBquant是一种基于人工智能的工具,准确估计瘤突变负担 (TMB),以改善免疫治疗患者的分层. 它在不同类型的癌症中优于现有方法,为精密瘤学提供了可靠的解决方案.

关键词:
基于计数的生物标志物不同质的样本是不同的样本.免疫疗法 免疫疗法瘤突变负担 瘤突变负担变量调用变量调用

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