Figure 2
From: Computational models of liver fibrosis progression for hepatitis C virus chronic infection
RFP-specificity of LP models. A) 2D graph of the LP model shown in Fig 1. HCV strains distributed into 4 clusters, from left to right: cluster 1 (fast RFP-IC, n = 1), cluster 2 (fast RFP-IC, n = 2; fast RFP-TOH, n = 4), cluster 3 (slow RFP-IC, n = 13; slow RFP-TOH, n = 12, and fast RFP-IC, n = 1; fast RFP-TOH, n = 3) and cluster 4 (fast RFP-IC, n = 3; fast RFP-TOH, n = 3). The graph below, shows mapping of computed probability potentials in LP model defining three RFP-class spaces of HCV strains (fast-RFP in blue, slow-RFP in red), where color density of areas are directly proportional to the probability of association to the respective RFP-class. Plots, where x-axis represents predicted probabilities and y-axis denotes observed RFP-class of HCV strains, show classification performances in validation tests of the B) LP-IC and C) LP-TOH model.