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

Table 5 Commonalities and differences between TGSO and 13 competing methods based on the top 200 ranked proteins and the DIP 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	57	143	83.22	23.08
IC	53	147	82.99	23.13
EC	40	160	82.50	25.63
SC	40	160	82.59	25.61
BC	53	147	85.03	23.13
CC	44	156	82.69	25.64
NC	96	104	79.81	39.42
Pec	101	99	79.80	50.51
CoEWC	105	95	78.95	53.68
POEM	101	99	73.74	56.57
TEGS	117	83	73.49	67.47
CVIM	110	90	74.44	70.00
ION	71	129	77.52	63.57

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

ISSN: 1471-2105