By the same authors

From the same journal

Adaptive binning: an improved binning method for metabolomics data using the undecimated wavelet transform

Research output: Contribution to journalArticlepeer-review

Standard

Adaptive binning : an improved binning method for metabolomics data using the undecimated wavelet transform. / Davis, Richard; Charlton, Adrian; Godward, John; Jones, Stephen; Harrison, Mark; Wilson, J.C.

In: Chemometrics and Intelligent Laboratory Systems, Vol. 85, No. 1, 01.2007, p. 144-154.

Research output: Contribution to journalArticlepeer-review

Harvard

Davis, R, Charlton, A, Godward, J, Jones, S, Harrison, M & Wilson, JC 2007, 'Adaptive binning: an improved binning method for metabolomics data using the undecimated wavelet transform', Chemometrics and Intelligent Laboratory Systems, vol. 85, no. 1, pp. 144-154. https://doi.org/10.1016/j.chemolab.2006.08.014

APA

Davis, R., Charlton, A., Godward, J., Jones, S., Harrison, M., & Wilson, J. C. (2007). Adaptive binning: an improved binning method for metabolomics data using the undecimated wavelet transform. Chemometrics and Intelligent Laboratory Systems, 85(1), 144-154. https://doi.org/10.1016/j.chemolab.2006.08.014

Vancouver

Davis R, Charlton A, Godward J, Jones S, Harrison M, Wilson JC. Adaptive binning: an improved binning method for metabolomics data using the undecimated wavelet transform. Chemometrics and Intelligent Laboratory Systems. 2007 Jan;85(1):144-154. https://doi.org/10.1016/j.chemolab.2006.08.014

Author

Davis, Richard ; Charlton, Adrian ; Godward, John ; Jones, Stephen ; Harrison, Mark ; Wilson, J.C. / Adaptive binning : an improved binning method for metabolomics data using the undecimated wavelet transform. In: Chemometrics and Intelligent Laboratory Systems. 2007 ; Vol. 85, No. 1. pp. 144-154.

Bibtex - Download

@article{a87a0caf712f44aca2dfbe862c53d66b,
title = "Adaptive binning: an improved binning method for metabolomics data using the undecimated wavelet transform",
abstract = "Statistical analysis of metabolomic datasets can lead to erroneous interpretation of results due to misalignment of the data. Therefore pre-processing methods for peak alignment and data averaging (binning or bucketing) to improve data quality have been used. Here we introduce adaptive binning. The undecimated wavelet transform is used in an improved method for correcting variation in chemical shifts in nuclear magnetic resonance spectroscopy data. Adaptive binning using theoretical and metabolomics NMR spectra significantly increases the ratio of inter-class to intra-class variation and increases data interpretability when compared to conventional binning.",
keywords = "Binning; , Wavelets; , Metabolomics; , Metabonomics; , NMR",
author = "Richard Davis and Adrian Charlton and John Godward and Stephen Jones and Mark Harrison and J.C. Wilson",
year = "2007",
month = jan,
doi = "10.1016/j.chemolab.2006.08.014",
language = "English",
volume = "85",
pages = "144--154",
journal = "Chemometrics and Intelligent Laboratory Systems",
issn = "0169-7439",
publisher = "Elsevier",
number = "1",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Adaptive binning

T2 - an improved binning method for metabolomics data using the undecimated wavelet transform

AU - Davis, Richard

AU - Charlton, Adrian

AU - Godward, John

AU - Jones, Stephen

AU - Harrison, Mark

AU - Wilson, J.C.

PY - 2007/1

Y1 - 2007/1

N2 - Statistical analysis of metabolomic datasets can lead to erroneous interpretation of results due to misalignment of the data. Therefore pre-processing methods for peak alignment and data averaging (binning or bucketing) to improve data quality have been used. Here we introduce adaptive binning. The undecimated wavelet transform is used in an improved method for correcting variation in chemical shifts in nuclear magnetic resonance spectroscopy data. Adaptive binning using theoretical and metabolomics NMR spectra significantly increases the ratio of inter-class to intra-class variation and increases data interpretability when compared to conventional binning.

AB - Statistical analysis of metabolomic datasets can lead to erroneous interpretation of results due to misalignment of the data. Therefore pre-processing methods for peak alignment and data averaging (binning or bucketing) to improve data quality have been used. Here we introduce adaptive binning. The undecimated wavelet transform is used in an improved method for correcting variation in chemical shifts in nuclear magnetic resonance spectroscopy data. Adaptive binning using theoretical and metabolomics NMR spectra significantly increases the ratio of inter-class to intra-class variation and increases data interpretability when compared to conventional binning.

KW - Binning;

KW - Wavelets;

KW - Metabolomics;

KW - Metabonomics;

KW - NMR

U2 - 10.1016/j.chemolab.2006.08.014

DO - 10.1016/j.chemolab.2006.08.014

M3 - Article

VL - 85

SP - 144

EP - 154

JO - Chemometrics and Intelligent Laboratory Systems

JF - Chemometrics and Intelligent Laboratory Systems

SN - 0169-7439

IS - 1

ER -