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Updated: Jun 17, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

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基于深度学习的核细分特征的融合,用于微卫星不稳定性和在消化道癌症中预测瘤突变负担:一个多中心验证研究

Yanping Zhang1, Jiaying Han1, Huang Chen2

  • 1School of Mathematics and Physics, Hebei University of Engineering, 19 Taiji Road, Handan 056038, China.

Briefings in bioinformatics
|November 11, 2025
PubMed
概括

这项研究引入了一种深度学习方法,用于从H&E染色的幻灯片中预测微卫星不稳定性 (MSI) 和瘤突变负担 (TMB),为胃癌和结肠直肠癌的基因组测试提供了具有成本效益的替代方案.

关键词:
细胞核细分 细胞核细分结肠直肠癌是什么意思深度学习是一种深度学习.胃癌 胃癌 是一种胃癌.微卫星的不稳定性 (MSI)瘤突变负担 (TMB) 是指瘤突变负担.

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