Instrumental and experimental effects in LC-MS-based metabolomics
Instrumental and experimental effects in LC-MS-based metabolomics
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DOI：
10.1016/j.jchromb.2008.04.044
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发表时间：
2008-08-15
影响因子：
3
通讯作者：
Bonner, Ron
中科院分区：
文献类型：
--
作者：
Burton, Lyle;Ivosev, Gordana;Bonner, Ron
代谢组学研究的实验复杂性可能导致与所研究的生物学效应无关的不受控制的方差，并可能扭曲或模糊数据分析。虽然一些来源可以通过良好的实验技术和仔细的样品处理来控制，但其他来源是所使用的分析技术所固有的，不容易避免。我们讨论了这些文物的来源和外观，并展示了它们可以使用可视化和统计工具进行检测的方法，允许在多变量分析（MVA）之前进行适当的处理。(C)2008 Elsevier B.V.保留所有权利。
The experimental complexity of a metabolomics study can cause uncontrolled variance that is not related to the biological effect being studied and may distort or obscure the data analysis. While some sources can be controlled with good experimental techniques and careful sample handling, others are inherent in the analytical technique used and cannot easily be avoided. We discuss the sources and appearance of some of these artifacts and show ways in which they can be detected using visualization and statistical tools, allowing appropriate treatment prior to multivariate analysis (MVA). (C) 2008 Elsevier B.V. All rights reserved.