Empirical Multiscale Networks of Cellular Regulation
Figure 3
Scaling Properties of Regulatory Networks
(A) Sparseness (number of regulatory interactions divided by the total number of possible interactions) plotted versus number of modules (scale).
(B) Distribution of number of regulatory inputs at each scale.
(C) Distribution of number of regulatory outputs at each scale.
(D) Power-law fit of the module output number distribution in the n = 72 case.
(E) The quality (r2) of power-law fits to module output (black) and input (gray) distributions versus scale, showing increasingly good fit for output distributions.
(F) The fraction of modules that are activating (green), inhibiting (red), mixed activating and inhibiting (yellow), or nonregulatory targets (blue) versus scale.
(G) Regulatory influence magnitude distributions at all scales (log-linear plot). The data are approximately exponential (line). Influences were included here if the standard deviation of their estimation replicates was less than 1, regardless of the mean.
(H) The correlation (r) across modules of the average regulatory input and output versus scale. Note the negative y-axis scale.