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...

Descripción completa

Detalles Bibliográficos
Autores principales: Parsons, Helen M, Ludwig, Christian, Günther, Ulrich L, Viant, Mark R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
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

Internet

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

Ejemplares similares