Table 1. Network parameters of the biomolecular regulatory networks.

S. cerevisiae cell cycle network	11	34	6.18	0.56	0.36	0.38	0.277	2.12	7	0.86	4.5	7.14	3.25	2.29	1.25	3.43
S. pombe cell cycle network	9	26	5.78	0.69	0.44	0.27	0	1.984	16	0.67	4.5	6.8	3	2	1.5	2.33
GRN underlying mammalian cortical area development	10	19	3.8	0.47	0.1	0.26	0	2.711	3	0.77	4.33	3	2	1.75	3.85	1.25
GRN underlying A. thaliana development	15	41	5.47	0.42	0.067	0.67	0.287	2.189	3	0.71	8.67	5.89	3	3.11	5.67	1.89
GRN underlying mouse myeloid development	11	30	5.45	0.47	0.27	0.43	0.439	2.081	8	0.53	6.33	5.13	2.33	2.38	3.33	2
Mammalian cell cycle network	20	51	5.1	0.24	0.05	0.43	0.112	2.209	NA	0.998	6.5	5.06	4	2.53	2.5	2.53
CREB signaling network	64	152	4.75	0.22	0.078	0.75	0.051	3.878	NA	0.29	7.5	4.59	4.5	2.37	3	2.22
Human fibroblast signaling network	139	575	8.27	0.23	0.086	0.71	0.104	4.486	NA	0.56	9.67	8.62	3.5	4.07	4.17	3.86

, number of nodes; , number of links; , average degree; , proportion of inhibitory links; , proportion of control kernel nodes; degree heterogeneity; , clustering coefficient; , characteristic path length; , number of attractors; , proportion of the basin size of the primary attractor; average degree of the control kernel nodes; , average degree of the non-kernel nodes; , average in-degree of the control kernel nodes; , average in-degree of the non-kernel nodes; , average out-degree of the control kernel nodes; , average out-degree of the non-kernel nodes; NA, not available. The exact numbers of attractors for the mammalian cell cycle network, the CREB signaling network, and the human fibroblast signaling network could not be obtained because there were large numbers of attractors with small basins.