Fig. 6
From: A novel pathway-based distance score enhances assessment of disease heterogeneity in gene expression
The accuracy of identifying the true number of clusters when genes are dependent. The percentage among the 100 simulated data sets that identified 3 as the optimal number of clusters based on the connectivity criterion calculated from the three distances. The top two rows of panels show this percentage versus ρ for given δ=0.5, 0.8, 1.1 and 1.5. The bottom two rows of panels show the percentage versus δ for given ρ=0.3, 0.5, 0.7 and 0.9. Both hierarchical clustering (HC) and K-means clustering (Kmeans) were used to calculate the connectivity criteria