Fig. 3
From: Serum proteome analysis identifies a potential biomarker for axial psoriatic arthritis
Identification of candidate biomarkers based on MS data from the discovery cohort. a Feature selection based on the Buruta algorithm; Feature ordering based on mean decrease accuracy (b) and mean decrease gini (c) in random forest model. PEDF was the top rank DEP; d quantitative analysis of serum PEDF levels in two groups using mass spectrometry data (****p < 0.001). The intensity of PEDF was normalized. e Receiver operating characteristic curve analysis of candidate biomarkers for axPsA vs. pPsA based on quantitative analysis of mass spectrometry data. PEDF pigment epithelium-derived factor, DEPs differentially expressed proteins, axPsA axial psoriatic arthritis, pPsA peripheral psoriatic arthritis