PG and KG networks intersection analysis.

From left to right: the yeast and human data division; Type, real data or random model; Networks, intersections of network models; # Edges, number of protein pairs in the intersections; # Nodes, number of different proteins (nodes) in the intersections; #Ed./#Nod., or network density is ratio of the number of edges divided by the number of nodes; %PGe, percentage of the PG model's edges backed by the KG model. R. 1, p-values random model and R. 2, adjacency random model (see the section: Network randomisation) the randomisation process was realized over the matrix of possible binary associations of all the proteins (nodes) in the PG and KG models. Calculation of intersections for the random models went through 1,000 iterations. For further statistics see Table S2 in Text S1.