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Data analysis Unsupervised principal component analysis (PCA) was first used to observe the overall distribution of samples and the stability of the analysis, followed by supervised partial least-squares discriminant analysis (PLS-DA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) used to distinguish the differences in metabolic profiles

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[DOI] [PubMed] [Google Scholar] 2.Pham T.M., Fujino Y., Ide R., et al
