Imperial College London
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ProfessorTimothyEbbels

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Professor of Biomedical Data Science
 
 
 
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Contact

 

+44 (0)20 7594 3160t.ebbels Website

 
 
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Location

 

315DBurlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Ebbels:2019:10.1002/9781119487845.ch34,
author = {Ebbels, TMD and De, Iorio M and Stephens, DA},
booktitle = {Handbook of Statistical Genomics},
doi = {10.1002/9781119487845.ch34},
pages = {949--975},
title = {Statistical methods in metabolomics},
url = {http://dx.doi.org/10.1002/9781119487845.ch34},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CHAP
AB  - Metabolomics studies the levels of small molecules in living systems and can reveal much about an organism's state of health or disease. The data is complex and requires tailored data processing and modelling approaches. Here we review recent developments in the field, including data preprocessing, univariate and multivariate approaches, network and pathway analysis, and methods aiding metabolite identification.
AU  - Ebbels,TMD
AU  - De,Iorio M
AU  - Stephens,DA
DO  - 10.1002/9781119487845.ch34
EP  - 975
PY  - 2019///
SN  - 9781119429142
SP  - 949
TI  - Statistical methods in metabolomics
T1  - Handbook of Statistical Genomics
UR  - http://dx.doi.org/10.1002/9781119487845.ch34
ER  -
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