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Updated: Jan 6, 2026

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IBI-DT:一种新的方法,结合了个性化的贝叶斯推理和决策树,用于识别癌症驱动因素及其相互作用

Md Asad Rahman1,2, Gregory F Cooper3, Jinying Zhao2

  • 1Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology, 600 W 14th St, Rolla, MO 65409, United States.

Briefings in bioinformatics
|September 21, 2025
PubMed
概括

一种新的方法,个性化贝叶斯推理使用决策树 (IBI-DT),识别癌症驱动因素及其相互作用. 这种方法解释了患者的遗传差异,改善了低频驱动因素的发现和对瘤发生的理解.

关键词:
癌症是癌症的驱动因素决策树是一个决策树.遗传相互作用 遗传相互作用个性化的贝叶斯推理.身体基因组的改变

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