Fig. 3

Identification of ITGAM as a crucial gene using machine learning algorithms. A, C, E SVM-RFE model construction for the key genes in DN glomerulus, DN tubulointerstitium, and AS, respectively. The results of a five-fold cross-validation are displayed. CV: cross-validation. B, D, F The left side presents the genes endorsed by the SVM-RFE model; the right side displays the excluded genes. G Experimental training model of RF. (H) ROC curve analysis was conducted to evaluate the predictive performance of the model. AUC = 0.816. I Results of single-fold cross-validation. J Results of five-fold cross-validation. K Importance ranking of the 18 hub genes in AS, based on the mean decrease in the Gini index