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Updated: Jan 15, 2026

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
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通过一次性学习检测癌症:整合基因表达和基因组突变分析

Alessia Petescia1, Gerardo Benevento2, Anna Falanga3

  • 1Department of Applied Informatics, Comenius University in Bratislava, Mlynská dolina F1, Bratislava, 842 48, Slovakia.

BMC bioinformatics
|October 6, 2025
PubMed
概括

这项研究引入了一种新的机器学习方法,该方法集成了基因表达和突变数据,以更准确地检测癌症. 该方法提高了对瘤微环境的理解,并确定了用于免疫治疗的生物标志物.

关键词:
癌症基因标记物 癌症基因标记物癌症类型预测 癌症类型预测深度学习是一种深度学习.可以解释的可解释性.基因组学就是基因组学.突变的特征 突变的特征一次性学习是一次性学习.

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