Imperial College London
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DrIbrahimKaraman

Faculty of Medicine, School of Public Health

Honorary Research Associate
 
 
 
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Contact

 

+44 (0)20 7594 3281i.karaman Website

 
 
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Location

 

155Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Karaman:2017:10.1007/978-3-319-47656-8_6,
author = {Karaman, I},
booktitle = {Metabolomics: From Fundamentals to Clinical Applications},
doi = {10.1007/978-3-319-47656-8_6},
editor = {Sussulini},
publisher = {Springer},
title = {Preprocessing and Pretreatment of Metabolomics Data for Statistical Analysis},
url = {http://dx.doi.org/10.1007/978-3-319-47656-8_6},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CHAP
AB  - From data acquisition to statistical analysis, metabolomics data need to undergo several processing steps, which are crucial for the data quality and interpretation of the results. In this chapter, methods for preprocessing, normalization, and pretreatment of metabolomics data generated from nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS) are presented and discussed. Preprocessing is reported for both NMR and MS analysis. The challenges in preprocessing such complex data are highlighted. Subsequently, normalization methods such as total area normalization, probabilistic quotient normalization, and quantile normalization are explained. Finally, several scaling and data transformation methods are discussed for metabolomics data pretreatment, which is an important step prior to statistical analysis.
AU  - Karaman,I
DO  - 10.1007/978-3-319-47656-8_6
PB  - Springer
PY  - 2017///
SN  - 9783319476568
TI  - Preprocessing and Pretreatment of Metabolomics Data for Statistical Analysis
T1  - Metabolomics: From Fundamentals to Clinical Applications
UR  - http://dx.doi.org/10.1007/978-3-319-47656-8_6
ER  -
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