Table 2.

Classification of network nodes and their functional importance in generalized Boolean network models

Boolean networks with |V| = 14 and |A| = 19 (initial state mutation)
	No feedback loop		Feedback loop		Total
	U	E(L)	U	E(L)	U	E(L)
Low connectivity	4281	0.0263 (0.00183)	9592	0.2317 (0.00615)	13873	0.1683 (0.00457)
High connectivity	1246	0.0426 (0.00492)	12881	0.2806 (0.00564)	14127	0.2596 (0.00528)
Total	5527	0.0300 (0.00181)	22473	0.2597 (0.00418)	28000	0.2144 (0.00354)
Boolean networks with |V| = 14 and |A| = 19 (update rule mutation)
	No feedback loop		Feedback loop		Total
	U	E(L)	U	E(L)	U	E(L)
Low connectivity	4379	0.1858 (0.00779)	9465	0.2459 (0.00579)	13844	0.2268 (0.00468)
High connectivity	1269	0.2196 (0.01539)	12887	0.2800 (0.00515)	14156	0.2745 (0.00490)
Total	5648	0.1934 (0.00697)	22352	0.2655 (0.00386)	28000	0.2510 (0.00340)

U : The number of proteins belonging to the corresponding class.

E : The average value of the functional importance with respect to either initial update mutations or rule update mutations.

L : The confidence interval for 95% confidence level.