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Updated: Mar 1, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

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灵活的贝叶斯推理用于识别显著相关的多个路径集

PhilGeun Jin1, Youngho Yun1, Inyoung Kim1

  • 1Department of Statistics, Virginia Polytechnic Institute and State University, VA, USA.

Statistics in medicine
|February 27, 2026
PubMed
概括

这项研究引入了一种灵活的贝叶斯方法,以找到与健康结果相关的重要基因通路. 它解决了途径之间的复杂相互作用,以便在II型糖尿病等疾病中更准确地进行遗传途径分析.

关键词:
贝叶斯因子是一个贝叶斯因子.化模型的融合模型.核心机器回归的回归方法多次测试多次测试多次测试

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