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Multiple comparisons in mass-spectrometry-based -omics technologies
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DOI：10.1016/j.trac.2013.04.011.png)
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摘要
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Survey technologies, such as metabolomics and proteomics, play increasingly important roles in the investigation of complex biological systems. These methods produce data sets that typically provide a huge amount of information using relatively few samples, so that finding differences between two groups, a fairly common question in this context, runs the risk of leading to many false positives. Often, the comparison is made on several thousand experimental variables, and strategies to correct for multiple-testing issues are necessary. We highlight the most important ideas, and assess their applicability in the fields of mass-spectrometry-based proteomics and (especially) metabolomics. (c) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Biological system
Chemometrics
Mass spectrometry
Metabolomics
Multiple comparisons
Multiple testing
Omics
Proteomics
Set-based approach
Statistical tool
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IF:
12
论文数:
7.3K
被引数:
3.9W
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A sharper Bonferroni procedure for multiple tests of significance用于多次显著性检验的更清晰的Bonferroni程序.png)
Biometrika
BiometrikaIF0
PREAI
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