Analysis of time course 1H NMR metabolomics data by multivariate curve resolution
Modeling NMR‐based metabolomics data often involves linear methods such as principal component analysis (PCA) and partial least squares (PLS). These methods have the objective of describing the main variance in the data and maximum covariance between the predictor variables and some response variabl...
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Veröffentlicht in: | Magnetic resonance in chemistry 2009-12, Vol.47 (S1), p.S105-S117 |
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