Fig. 2
Principal component analysis of proteome profiles. a Score plot of PCA analysis to overview classification trend of proteome profiles of PCOS and Control groups. Model parameter: R2X = 0.46 (cumulative variance proportion of 8 principal components). b Score plot of OPLS-DA modeling to maximize inter-group differentiation of proteomic data between PCOS and Control groups. Model parameter: 1 predictive component + 2 orthogonal components, R2Y = 0.94, Q2 = 0.71. c S-plot of OPLS-DA modeling using DIA proteomics quantitative data. d 999 times permutation test of OPLS-DA modeling