Figure 1 .
Example of inferring a network from synthetic data. (A) An arbitrary random graph serves as Gu which can be represented by an adjacency matrix, shown in (B). The field C is generated synthetically by performing short random walks on the graph to identify locally connected subgraphs. Using only the information contained in C the ensemble Gens is algorithmically sampled, a few of the sampled graphs are shown in (C). An example of the mean adjacency matrix over Gens is shown in (D).
Clark et al. BMC Systems Biology 2012 6:89 doi:10.1186/1752-0509-6-89