Fig. 1
From: Mass spectrometry-based proteomics identify novel serum osteoarthritis biomarkers
Principal component analysis (PCA) (unsupervised). Serum samples were from controls (n=8; + [gray]), osteoarthritis (OA)-obese (n=10; ○ [blue]), and OA-non obese (n=10; Δ [orange]) and analyzed by PCA. PCA represents the maximum variability that exists between different samples and unsupervised means regardless of the group to which they belong. The closer the points are in the PCA, the closer the proteomic profiles of the corresponding samples. In each axis, the percentage represents the total variability between all points. PC, principal component