Imperial College London

DrJamesMcKenzie

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Research Associate
 
 
 
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Contact

 

j.mckenzie

 
 
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Location

 

E311Burlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Veselkov:2016:10.1016/B978-0-12-409547-2.12113-4,
author = {Veselkov, KA and Inglese, P and Galea, D and McKenzie, JS and Nicholson, JK},
booktitle = {Encyclopedia of Spectroscopy and Spectrometry},
doi = {10.1016/B978-0-12-409547-2.12113-4},
pages = {243--249},
title = {Statistical tools for molecular covariance spectroscopy},
url = {http://dx.doi.org/10.1016/B978-0-12-409547-2.12113-4},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - CHAP
AB - One major application of modern spectroscopic and spectrometric techniques is to measure hundreds to thousands of molecules in biological specimens as part of a process of metabolic phenotyping. Statistical spectroscopy covers a range of techniques used for the recovery of correlated intensity patterns within and between molecules. This plays an essential role in the annotation of molecular features of potential biological or diagnostic significance. The article introduces a variety of univariate and multivariate statistical tools for molecular covariance spectroscopy.
AU - Veselkov,KA
AU - Inglese,P
AU - Galea,D
AU - McKenzie,JS
AU - Nicholson,JK
DO - 10.1016/B978-0-12-409547-2.12113-4
EP - 249
PY - 2016///
SN - 9780128032244
SP - 243
TI - Statistical tools for molecular covariance spectroscopy
T1 - Encyclopedia of Spectroscopy and Spectrometry
UR - http://dx.doi.org/10.1016/B978-0-12-409547-2.12113-4
ER -