Fig. 3From: Urine proteomics identifies biomarkers for diabetic kidney disease at different stagesA classifier for distinguishing DKD4 from DKD3. a A bioinformatic analysis workflow to find candidate biomarkers between DKD3 and DKD4 samples. n: number of samples used in the analyses. b Hierarchical clustering of DKD3 and DKD4 DEPs using complete linkage. Protein expression values were normalized by z-scores. c Venn diagram indicating the overlap of DEPs between discovery and validation datasets. d ROC curve of distinguishing DKD3 and DKD4 predicted by a 3-protein classifier. e Reactome pathway analysis of the up-regulated DEPs in DKD4 samples. f Boxplots displaying the abundance of the complement component proteins at different stages of DKD and CKD in the two datasetsBack to article page