File:Metabolomics-Driven-Nutraceutical-Evaluation-of-Diverse-Green-Tea-Cultivars-pone.0023426.g006.jpg

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English: A, B) PLS model, C, D) PLS model with OSC preprocessing method, and E, F) OPLS model. Models were calculated from LC-MS data set of (A, C, E) 38 tea samples as the training set and B, D, F) 43 tea samples included in training and test (red circle) sets. G) Bar chart showing influence of variables used to create bioactivity predictor for green tea cultivars (Y-axis is value of variable importance in the projection, VIP). H) Theanin, the metabolite with the highest VIP value, was significant for creating the bioactivity prediction model for tea cultivars.
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Source Image file from Fujimura Y, Kurihara K, Ida M, Kosaka R, Miura D, Wariishi H, Maeda-Yamamoto M, Nesumi A, Saito T, Kanda T, Yamada K, Tachibana H (2011). "Metabolomics-Driven Nutraceutical Evaluation of Diverse Green Tea Cultivars". PLOS ONE. DOI:10.1371/journal.pone.0023426. PMID 21853132. PMC: 3154454.
Author Fujimura Y, Kurihara K, Ida M, Kosaka R, Miura D, Wariishi H, Maeda-Yamamoto M, Nesumi A, Saito T, Kanda T, Yamada K, Tachibana H
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