Imperial College London

DrTimothyEbbels

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Reader in Computational Bioinformatics
 
 
 
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Contact

 

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

 
 
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Location

 

131Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Ebbels:2019:10.1007/978-1-4939-9690-2_25,
author = {Ebbels, TMD and Karaman, I and Graça, G},
doi = {10.1007/978-1-4939-9690-2_25},
pages = {453--470},
title = {Processing and Analysis of Untargeted Multicohort NMR Data.},
url = {http://dx.doi.org/10.1007/978-1-4939-9690-2_25},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - CHAP
AB - NMR data from large studies combining multiple cohorts is becoming common in large-scale metabolomics. The data size and combination of cohorts with diverse properties leads to special problems for data processing and analysis. These include alignment, normalization, detection and removal of outliers, presence of strong correlations, and the identification of unknowns. Nonetheless, these challenges can be addressed with suitable algorithms and techniques, leading to enhanced data sets ripe for further data mining.
AU - Ebbels,TMD
AU - Karaman,I
AU - Graça,G
DO - 10.1007/978-1-4939-9690-2_25
EP - 470
PY - 2019///
SP - 453
TI - Processing and Analysis of Untargeted Multicohort NMR Data.
UR - http://dx.doi.org/10.1007/978-1-4939-9690-2_25
UR - https://www.ncbi.nlm.nih.gov/pubmed/31463860
ER -