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Principal component analysis (PCA) was used to derive the major distribution patterns from metabolomics data for all three groups. (a) PCA of 3749 metabolic features from 61 samples of S-MCI, P-MCI, and AD patients. (b,c) PCA representation of the twenty (b) or eight (c) metabolites selected by the machine learning algorithms. S-MCI, stable MCI; P-MCI, MCI proceeding to AD.
