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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1965488/ https://www.ncbi.nlm.nih.gov/pubmed/17605789 http://dx.doi.org/10.1186/1471-2105-8-234 |