Davis, R.A., Charlton, A.J., Godward, J., Jones, S.A., Harrison, M. and 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). pp. 144-154. ISSN 0169-7439Full text not available from this repository.
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.
|Academic Units:||The University of York > Chemistry (York)|
|Depositing User:||York RAE Import|
|Date Deposited:||24 Jul 2009 13:17|
|Last Modified:||24 Jul 2009 13:17|
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