An iteration model for identifying essential proteins by combining comprehensive PPI network with biological information

Table 6 Commonalities and differences between TGSO and 13 competing methods based on the top 200 ranked proteins and the Krogan database

Different prediction methods (Mi)	\(\|TGSO\cap Mi\|\)	\(\|TGSO-Mi\|\)	Percentage of key proteins in \({TGSO-Mi}\) (%)	Percentage of key proteins in \({Mi-TGSO}\) (%)
DC	80	120	79.17	32.50
IC	83	117	78.63	29.06
EC	67	133	81.20	24.06
SC	64	136	81.17	24.05
BC	67	133	80.45	30.08
CC	59	141	81.56	23.40
NC	106	94	71.28	42.55
Pec	94	106	69.81	44.34
CoEWC	95	105	69.52	47.62
POEM	98	102	68.63	51.96
TEGS	108	92	63.04	55.43
CVIM	138	62	64.52	54.84
ION	69	131	70.23	59.54

This table shows the commonalities and differences between TGSO and the 13 competitive methods in Table 1 based on the Krogan database

ISSN: 1471-2105