Citation

BibTex format

@inbook{Veselkov:2016:10.1016/B978-0-12-409547-2.12113-4,
author = {Veselkov, KA and Inglese 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},
editor = {Lindon and Tranter and Koppenaal},
pages = {243--249},
publisher = {Elsevier B.V.},
title = {Statistical Tools for Molecular Covariance Spectroscopy},
url = {http://dx.doi.org/10.1016/B978-0-12-409547-2.12113-4},
year = {2016}
}
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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
AU  - Galea,D
AU  - McKenzie,JS
AU  - Nicholson,JK
DO  - 10.1016/B978-0-12-409547-2.12113-4
EP  - 249
PB  - Elsevier B.V.
PY  - 2016///
SN  - 978-0-12-803224-4
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
UR  - http://www.sciencedirect.com/science/article/pii/B9780124095472121134
ER  -
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