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Figure 1

From: Combined Application of NMR- and GC-MS-Based Metabonomics Yields a Superior Urinary Biomarker Panel for Bipolar Disorder

Figure 1

Metabonomic analysis of urine samples.

(a) Orthogonal partial least-squares discriminant analysis (OPLS-DA) score plots showing a clear discrimination between BD subjects (red box) and healthy controls (black box) in the training set. (b) Permutation test showing the original R2 and Q2 values (top right) as significantly higher than the corresponding permuted values (bottom left), demonstrating the OPLS-DA model's robustness. (c) OPLS-DA model was used to predict the healthy controls (green box) from the test set. (d) OPLS-DA model was used to predict the BD subjects (blue box) from the test set.

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