Table 2. Performance indicator of centrality-based essential protein identification methodologies on the yeast dataset.

Methodologies	Precision	Recall	F-Score
Local Average Connectivity (LAC) (Li et al., 2011)	0.471	0.464	0.599
Degree Centrality (DC) (Jeong et al., 2001)	0.376	0.363	0.503
Density of Maximum Neighborhood Component (DMNC) (Lin et al., 2008)	0.376	0.363	0.503
Betweenness Centrality (BC) (Anthonisse, 1971)	0.398	0.393	0.532
Closeness Centrality (CC) (Sabidussi, 1966)	0.266	0.260	0.391
Bottle Neck (BN) (Pržulj, Wigle & Jurisica, 2017)	0.381	0.373	0.512
Information Centrality (IC) (Stephenson & Zelen, 1989)	0.438	0.432	0.569
Eigenvector Centrality (EC) (Bonacich, 1987)	0.408	0.401	0.540
Subgraph Centrality (SC) (Estrada & Rodriguez-Velazquez, 2005)	0.408	0.401	0.540
DeepEP (Zeng et al., 2019)	0.580	0.520	0.550
EPI-SF using Random Forest	0.703	0.720	0.711