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Fig. 1 | BMC Anesthesiology

Fig. 1

From: Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsis

Fig. 1

Identification of differentially expressed metabolites (DEMs) between control and sepsis. A, B Principal component analysis (PCA) scores plot for metabolomics analysis in the sepsis and control groups. PC1 and PC2 in the figure represent the scores of the first and second principal components respectively. Each scatter represents a sample. The red circle represents septic patients, and the blue circle represents the healthy controls. C, D OPLS-DA replacement test of NEG and POS. The abscissa represents the displacement retention degree of the displacement test, the ordinate represents the value of R2Y or Q2, the green dot represents the R2Y value obtained from the displacement test, the blue square dot represents the Q2 value obtained from the displacement test, and the two dotted lines represent the regression lines of R2Y and Q2 respectively. Pie charts of super class of DEMs in NEG E and POS (F) models. (G) Heat maps and (H) Radar plots analyzed by TBtools showing the significantly changed metabolites in sepsis and control

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