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相关概念视频

Multiple Comparison Tests01:13

Multiple Comparison Tests

3.8K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
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Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

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Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
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相关实验视频

Updated: Apr 25, 2026

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
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迪斯科P-ad:以距离相关性为基础的-价值调整增强了代谢学多重测试校正.

Debmalya Nandy1,2, Debashis Ghosh1, Katerina Kechris1,2

  • 1Department of Biostatistics & Informatics, Colorado School of Public Heath, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.

Metabolites
|January 24, 2025
PubMed
概括
此摘要是机器生成的。

我们引入了一种新的方法,基于距离相关的p值调整 (DisCo P-ad),以改善omics研究中的多重测试校正. 这种方法提高了统计能力,减少了代谢学和其他高维数据分析中的错误发现.

关键词:
相关的测试相关的测试.有效数量测试的测试.自己的分析.代谢组范围的关联研究.多次测试多次测试多次测试一个点向错误率的点向错误率.

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科学领域:

  • 生物统计学 生物统计学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.
  • 代谢学 代谢学 代谢学

背景情况:

  • 高通量omics研究产生了大量数据集与众多噪音变量.
  • 在统计分析中,多次测试校正至关重要,以尽量减少错误或错过的发现.
  • 现有的多重测试纠正方法在奥米克学,特别是代谢学,可能过于保守,宽容,或在他们的假设有限.

研究的目的:

  • 建议对高维欧米数据的p值调整程序进行新的修改.
  • 增强现有的基于自身分析的多重测试校正方法.
  • 提高统计能力,减少代谢全组关联研究 (MWAS) 中的错误阳性.

主要方法:

  • 通过对应矩阵的自身分析估计独立测试的有效数.
  • 根据距离相关性提出修改,这是一个更一般的关联度量.
  • 评估拟议方法在不同研究设计的代谢学数据上的性能.

主要成果:

  • 基于距离相关性的p值调整 (DisCo P-ad) 与现有方法相比显示出更高的性能.
  • 这项研究评估了常见的全基因组关联研究 (GWAS) 的p值调整程序和为MWAS量身定制的程序.
  • 距离相关性在各种样本大小与特征比率,反应类型和代谢物分组中显示出更好的结果.

结论:

  • 迪斯科P-ad为基于自身分析的多重测试校正提供了一种新的增强.
  • 该方法可以增加统计能力,并减少omics研究中的假阳性.
  • DisCo P-ad适用于代谢学和其他高维的数据分析.