Fig. 4
From: Identification of novel candidate biomarkers and immune infiltration in polycystic ovary syndrome
Identification of the hub biomarkers in PCOS via a comprehensive strategy. A The LASSO logistic regression model was used to retain the most predictive features. B Biomarkers were screened based on the SVM-RFE algorithm. C The Venn diagram showed the intersection of biomarkers obtained by the LASSO logistic regression model and SVM-RFE algorithm. D The ROC curves of AKAP5, APOH, HDDC3, and SDC2 in the train group. E The differential expressions of HDDC3 and SDC2 in the test group. F The ROC curves of HDDC3 and SDC2 in the test group. G The ROC curves of combining HDDC3 and SDC2 in the train and test groups. H Relative quantification of the hub genes HDDC3 and SDC2 based on RT-qPCR results. PCOS, polycystic ovary syndrome; LASSO, least absolute shrinkage and selection operator; SVM-RFE, support vector machine-recursive feature elimination; ROC, receiver operating characteristic; AKAP5, A-kinase anchoring protein 5; APOH, apolipoprotein H; HDDC3, HD domain containing 3; SDC2, syndecan 2