Statistical analysis in metabolic phenotyping

Benjamin J. Blaise, Gonçalo D. S. Correia, Gordon A. Haggart, Izabella Surowiec, Caroline Sands, Matthew R. Lewis, Jake T. M. Pearce, Johan Trygg, Jeremy K. Nicholson, Elaine Holmes, Timothy M. D. Ebbels

Published: 2021-07-27 DOI: 10.1038/s41596-021-00579-1

Metabolic phenotyping

Statistical analysis

Analytical technologies

Biomarker selection

Data normalization

AI 解读

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Single-cell RNA sequencing (scRNA-seq)（单细胞RNA测序）

Data integration（数据集成）

Heterogeneity（异质性）

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Metabolic phenotyping is an important tool in translational biomedical research. The advanced analytical technologies commonly used for phenotyping, including mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy, generate complex data
Introduction
Materials
- Equipment
Procedure
Troubleshooting
Timing
Anticipated results
References
ACKNOWLEDGMENTS

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Statistical analysis in metabolic phenotyping

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