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Fig. 1 | Lipids in Health and Disease

Fig. 1

From: Revealing potential lipid biomarkers in clear cell renal cell carcinoma using targeted quantitative lipidomics

Fig. 1

Lipid identification. A The type and number of identified lipids. B The total content of lipid molecules. C The PCA analysis on tumor and normal samples. D OPLS-DA score chart. The abscissa represents the predicted principal component and abscissa direction indicates the gap between groups. The ordinate represents the orthogonal principal component and the ordinate direction indicates the gap within the group. E The verification diagram OPLS-DA model. R2X = 0.442, R2Y = 0.862, Q2 = 0.73, P < 0.005. F S-plot of OPLS-DA model. The abscissa represents the covariance between the principal component and the lipid, and the ordinate represents the correlation coefficient between the principal component and the lipid. The red points indicate that the VIP value of these lipids is greater than or equal to 1, and the green points indicate that the VIP value of these lipids is less than 1

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Lipids in Health and Disease

ISSN: 1476-511X