Figure 1.

Comparison of the number of essential proteins detected by PeC and fifteen other previously proposed centrality measures. For each centrality measure, a certain number of top proteins are selected as candidates for essential proteins and out of which the number of true essential proteins are determined. The number of true essential proteins detected by PeC and fifteen other previously proposed centrality measures: Degree Centrality(DC), Betweenness Centrality (BC), Closeness Centrality (CC), Subgraph Centrality(SC), Eigenvector Centrality(EC), Information Centrality(IC), Bottle Neck (BN), Density of Maximum Neighborhood Component (DMNC), Local Average Connectivity-based method (LAC), Sum of ECC (SoECC), Range-Limited Centrality(RL), L-index(LI), Leader Rank(LR), Normalized α-Centrality(NC), and Moduland-Centrality(MC) from the yeast protein-protein interaction network are shown.