Table 4.

The results of the six types of CMS for cancer networks and STNs

	FBL-FBL	FFL-FFL	bi-fan-bi-fan	FBL-FFL	FBL-bi-fan	FFL-bi-fan	size	max deg	BRC	DC
Cancer networks
AML	0	0	17	0	0	0	22	7	0.310	0.116
Glioma	0	0	36	0	0	0	8	4	0.0443	0.393
Melanoma	0	0	0	0	0	0	4	2	0.0678	0.400
NSCLC	0	1	6	0	4	2	18	6	0.0309	0.150
PC	0	0	0	0	0	0	18	11	0.0137	0.111
RCC	0	0	0	0	0	0	6	5	0.0075	0.333
Median, α							13	5.5	0.0376	0.242
Signal transduction networks (STNs)
Erbb	0	10	1607	0	0	111	31	13	0.0106	0.123
FoxO	0	2	0	0	0	0	34	31	0.00074	0.064
Hippo	0	10	0	0	0	0	12	6	0.0765	0.167
Jak-Stat	0	0	3	0	0	0	16	6	0.0461	0.158
Mapk	0	0	6	0	0	0	72	13	0.0154	0.039
PI3k-Akt	0	0	0	0	0	0	39	15	0.00878	0.058
Rap1	0	0	0	0	0	0	26	15	0.0161	0.080
Ras	0	1	105	0	0	7	39	14	0.0107	0.082
TGF_Beta	0	0	0	0	0	0	5	3	0.0678	0.250
TNF	0	0	0	0	0	0	12	5	0.0379	0.167
TCS	0	0	3	0	0	0	11	8	0.0333	0.182
VEGF	0	1	0	0	0	0	19	8	0.0146	0.123
Wnt	0	24	0	0	0	0	24	9	0.0106	0.123
Median, β							32.5	13.5	0.00158	0.081
γ							2.50	2.46	0.419	0.335