Table 5.

Precision and recall values of different algorithms on each PPI network.

			APC			MPC
Method	Data Set	No. of Cluster	Match Complex	Recall/Prec	Match Cluster	Match Complex	Recall/Prec	Match Cluster
CFA	(1)	423	52	0.838 0.310	131	119	0.182 0.435	184
CMC	(1)	296	51	0.822 0.293	87	101	0.155 0.361	107
MCL	(1)	647	51	0.822 0.179	116	113	0.173 0.241	156
PCP	(1)	341	50	0.806 0.290	99	103	0.158 0.343	117
RNSC	(1)	301	52	0.838 0.345	104	102	0.156 0.425	128
CFA	(2)	324	51	0.962 0.456	148	122	0.275 0.543	176
CMC	(2)	299	50	0.943 0.347	104	106	0.239 0.401	120
MCL	(2)	327	50	0.943 0.422	138	116	0.261 0.486	159
PCP	(2)	228	48	0.905 0.403	92	108	0.243 0.482	110
RNSC	(2)	295	50	0.943 0.362	107	104	0.234 0.410	121
CFA	(3)	235	49	0.907 0.497	117	119	0.271 0.595	140
CMC	(3)	213	31	0.574 0.347	74	70	0.159 0.417	89
MCL	(3)	373	47	0.870 0.332	124	117	0.266 0.479	179
PCP	(3)	121	28	0.518 0.388	47	62	0.141 0.446	54
RNSC	(3)	158	25	0.463 0.392	62	58	0.132 0.487	77
CFA	(4)	330	45	0.803 0.451	149	104	0.195 0.533	176
CMC	(4)	166	40	0.714 0.379	63	87	0.163 0.494	82
MCL	(4)	247	45	0.803 0.368	91	98	0.184 0.477	118
PCP	(4)	205	40	0.714 0.400	82	84	0.158 0.458	94
RNSC	(4)	200	37	0.660 0.430	86	88	0.165 0.510	102
CFA	(5)	120	13	0.433 0.166	20	62	0.114 0.416	50
CMC	(5)	149	6	0.200 0.060	9	56	0.103 0.335	50
MCL	(5)	96	12	0.400 0.250	24	60	0.110 0.500	48
PCP	(5)	51	4	0.133 0.098	5	33	0.060 0.372	19
RNSC	(5)	26	5	0.166 0.500	13	21	0.038 0.730	19
CFA	(6)	45	3	0.200 0.088	4	15	0.126 0.226	12
CMC	(6)	9	0	0.000 0.000	0	1	0.008 0.111	1
MCL	(6)	65	3	0.200 0.076	5	15	0.126 0.230	15
PCP	(6)	8	0	0.000 0.000	0	1	0.008 0.125	1
RNSC	(6)	11	0	0.000 0.000	0	1	0.008 0.545	6

The "data sets" column refers to networks, where (1) denotes PPI_Biogrid, (2) denotes PPI_Gavin6, (3) denotes PPI_Gavin2, (4) denotes PPI_Krogan, (5) denotes PPI_Ho, and (6) denotes PPI_Ito. The best precision and recall value for each PPI network are highlighted in bold font.