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Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logarithm transformation

BACKGROUND: Classifying nuclear magnetic resonance (NMR) spectra is a crucial step in many metabolomics experiments. Since several multivariate classification techniques depend upon the variance of the data, it is important to first minimise any contribution from unwanted technical variance arising...

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Bibliografiske detaljer
Main Authors: Parsons, Helen M, Ludwig, Christian, Günther, Ulrich L, Viant, Mark R
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2007
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC1965488/
https://ncbi.nlm.nih.gov/pubmed/17605789
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-234
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