Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logarithm transformation
<p>Abstract</p> <p>Background</p> <p>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...
| Main Authors: | , , , |
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| Format: | Article |
| Jezik: | English |
| Izdano: |
BMC
2007-07-01
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| Serija: | BMC Bioinformatics |
| Online dostop: | http://www.biomedcentral.com/1471-2105/8/234 |