Table 1.

The ratio of driver nodes to target nodes is presented for each algorithm, with the best result highlighted in bold.

Network features						Target details		Algorithm
		Name	—V—	—E—	<k>	—T—	Targets_selection	BaGA	GeneticAlg	TCMM	GTCA
							Random	0.10	0.21	0.28	0.10
Real_network	S.N	prison	67	182	5.43	33	Local	0.04	0.20	0.34	0.13
							Random	0.17	0.23	0.31	0.19
	N.N	C.Elegans	306	2345	15.33	153	Local	0.12	0.33	0.29	0.21
							Random	0.81	0.78	0.82	0.82
		Silwood	154	370	4.81	77	Local	0.8	0.79	0.82	0.81
							Random	0.24	0.18	0.60	0.14
	F.W	Mangrove	97	1492	30.76	48	Local	0.15	0.22	0.72	0.21
							Random	0.22	0.30	0.30	0.27
		S208	122	189	3.10	61	Local	0.15	0.30	0.24	0.24
							Random	0.19	0.39	0.29	0.30
	E.C	S420	252	399	3.17	126	Local	0.15	0.27	0.28	0.22
							Random	0.67	0.68	0.81	0.72
	Tr	EColi	423	578	2.73	211	Local	0.62	0.65	0.71	0.80
BC_Gene		Breast_956	956	6213	6.4	58	0.05	0.03	0.02	0.03	0.02
						157	0.01	0.15	0.19	0.19	0.18
						119	0.005	0.11	0.14	0.13	0.13
		Breast_478	478	2055	4.2	50	0.001	0.04	0.03	0.04	0.03
		DEF	1415	2435	3.44	112		0.68	0.53	0.68	0.63
Cancer_PPI		HCC-1428	1495	2650	3.54	126		0.67	0.51	0.66	0.48
	Breast	MDA-MB-361	1478	2590	3.50	124		0.69	0.51	0.67	0.49
		DEF	1047	1579	3.01	140		0.75	0.66	0.75	0.63
		OVCA8	1157	1781	3.07	161	Essential proteins	0.73	0.63	0.72	0.60
	Ovarian	O19468	1047	1579	3.01	159		0.70	0.66	0.74	0.62
		DEF	991	1484	2.99	168		0.74	0.67	0.69	0.62
		KP-3	1134	1757	3.09	167		0.74	0.64	0.70	0.62
	Pancreatic	AsPC	1022	1534	3.0	125		0.75	0.63	0.67	0.60