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Updated: Jun 7, 2025

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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在大规模的全基因组关联分析中测试贝叶斯等级假设

Anirban Samaddar1, Tapabrata Maiti1, Gustavo de Los Campos1,2,3

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

Genetics
|November 19, 2024
PubMed
概括

我们开发了一种新的贝叶斯层次假设测试 (BHHT) 方法,以改善高维基因组数据中的变量选择,特别是具有对线特征的变量选择. 对于复杂的特征,BHHT提供了更高的功率和更好的错误控制,从而在大型生物库数据集中发现了更多的发现.

关键词:
贝叶斯的等级假设测试测试贝叶斯的等级假设测试.贝叶斯的变量选择选择是贝叶斯的.在GWAS中,GWAS就是GWAS.英国生物银行数据一致直线性 (collinearity) 是一个直线性.错误发现率 错误发现率链接不平衡 关系不平衡多解析度推断推断的结论.在之前的尖峰和板块之前.

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