Unsupervised analysis of normalized proteomics data obtained from Normal, Cirrhosis (Cir) and HCC subjects: A) Unsupervised Clustering B) Principal component analysis. Unsupervised Pearson Correlation based cluster of Normal, Cirrhosis (Cir) and HCC subjects depicts two major clusters containing Normal’s and Diseased (Cir, HCC) subjects. B) The first principal component with highest variation (43%) is shown on the X-axis and separates the samples on the basis of Diseased vs Normal status. The second component with median variance (15%) is displayed on the Y-axis and separates the sample on the basis of the disease progression (Cirrhosis vs. HCC). The Normal, Cirrhosis and HCC samples formed three separate clusters on PCA plot.