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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Main Authors: Parsons, Helen M, Ludwig, Christian, Günther, Ulrich L, Viant, Mark R
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2007
Teme:
Research Article
Online dostop: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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