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E值:在DNA甲基化研究中,P值及其调整的优质替代品
Yifan Yang1,2, Haoyuan Liu1, Yi Liu3
1Department of Mathematics, Shanghai Normal University, Shanghai, China.
Briefings in bioinformatics
|June 27, 2023
概括
这项研究引入了E值,用于分析来自减少表示双硫酸盐测序 (RRBS) 的DNA甲基化数据. 与传统的P值相比,E值提供了更好的准确性和更少的误差,用于检测差异甲基化区域 (DMR).
科学领域:
- 表观遗传学和基因组学
- 计算生物学 计算生物学
- 统计生物信息学是统计的.
背景情况:
- DNA甲基化对基因调节至关重要,减少表示双硫酸盐测序 (RRBS) 被广泛用于全基因组分析.
- 目前用于检测RRBS数据中的差异甲基化区域 (DMR) 的工具通常依赖P值,P值因准确性问题而越来越受到批评.
- 现有的计算工具如Metilene,MethylKit,BiSeq和DMRfinder是DMR检测的标准.
研究的目的:
- 提出一种用于计算E值的新方法,即概率比率统计,用于在RRBS数据中检测DMR.
- 引入R包"metevalue"以使用现有的DMR检测工具轻松实现E值计算.
- 用模拟和真实RRBS数据集评估E值与P值的性能.
主要方法:
- 基于概率比的E值计算方法的开发.
- 创建R包"metevalue"以将E值计算集成到DMR检测工作流程中.
- 使用"RRBSsim"模拟器生成比较RRBS数据集,每组有8个样本.
- 使用模拟数据和来自CRL老鼠的真实RRBS数据以及低盐饮食临床试验的性能评估.
主要成果:
- 与P值或调整的P值相比,E值显著提高了准确性,ROC曲线下的面积和统计能力.
- 使用E值导致DMR检测中的错误发现率和I型错误率降低.
- 使用真实数据的应用表明,E值识别了更多生物学相关的DMR,并增强了DNA甲基化和基因表达之间的负相关性.
结论:
- 与传统的P值相比,E值代表了在RRBS数据中检测DMR的更准确和可靠的统计方法.
- "metevalue" R包有助于采用E值,增强了表观遗传调节的分析.
- 这种方法提高了DNA甲基化研究结果的生物学相关性和统计学严谨性.
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