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Updated: Jun 28, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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贝叶斯KAT:贝叶斯最佳基因基核测试用于遗传关联研究,揭示了复杂疾病中的联合遗传效应

Sikta Das Adhikari1,2, Yuehua Cui1, Jianrong Wang2

  • 1Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA.

Briefings in bioinformatics
|April 23, 2024
PubMed
概括

BayesKAT是一种新的贝叶斯框架,通过自适应地选择最佳核心来进行群体遗传变异测试来改进复杂疾病分析. 这种方法增强了对多基因关联的检测,并有效控制了统计错误.

关键词:
贝叶斯模型是贝叶斯模型.复杂的疾病复杂的疾病.基因关联测试是基因关联测试.基于内核的测试测试最佳的内核选择选择

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