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Updated: Aug 6, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
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MS1FA:在非目标代谢学数据集中注释冗余特征的闪亮应用程序

Ruibing Shi1, Frank Klawonn1,2, Mark Brönstrup3,4,5

  • 1Biostatistics Research Group, Helmholtz Centre for Infection Research, Braunschweig, 38124, Germany.

Bioinformatics (Oxford, England)
|April 15, 2025
PubMed
概括

MS1FA是一个新的网络平台,可以帮助研究人员通过识别和分组冗余特征来注释非目标代谢学数据. 该工具简化了复杂的小分子数据的分析,以获得更好的生理洞察力.

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Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This number is...