Fig. 3From: Characterizing hub biomarkers for post-transplant renal fibrosis and unveiling their immunological functions through RNA sequencing and advanced machine learning techniquesMachine learning in screening candidate diagnostic biomarkers for RIF pathogenesis. A forest plot of genes with an OR greater than 4. B Plot of LASSO partial likelihood deviance. C Plot of LASSO coefficient profiles. Accuracy (D) and error (E) of fivefold cross-validation (CV) in SVM-RFE algorithms, respectively.F Venn diagram showing the characteristic genes shared by LASSO and SVM-RFE algorithmsBack to article page