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Figure 4 | BMC Bioinformatics

Figure 4

From: Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logarithm transformation

Figure 4

PCA scores plots of the 1D NMR spectra of mussel adductor muscle. (A) Unscaled data, (B) autoscaled data, (C) Pareto scaled data, (D) glog transformed data. The red circles represent the hypoxic samples whilst the blue squares represent the normoxic samples. The black line represents the decision boundary between the classes constructed using LDA.

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