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Updated: Jun 28, 2025

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在对eQTL数据的分组假设测试中控制错误发现

Pratyaydipta Rudra1, Yi-Hui Zhou2, Andrew Nobel3

  • 1Department of Statistics, Oklahoma State University, Stillwater, OK, USA. prudra@okstate.edu.

BMC bioinformatics
|April 11, 2024
PubMed
概括

我们开发了Z-REG-FDR,这是一种快速的方法,用于控制表达量化特征位置 (eQTL) 分析中分组假设的错误发现率 (FDR). 这种方法提供了更好的统计能力,适合大规模的基因组研究.

关键词:
经验上的贝叶斯.错误发现率 错误发现率组合测试假设测试组合测试假设测试我们的eQTL是eQTL.

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