Figure 3From: A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling dataNode degree distribution of the S. cerevisiae network models. The distribution of the degrees of nodes in the LP-SLGNs estimated from the S. cerevisiae ALPHA and CDC15 data sets using both LP formulations (a general class of linear functions; a positive class of linear functions). The best fit straight line in each logarithmic plot means that the number P(k) of nodes with degree k follows a power law, P(k) ∝ k-α. The goodness of fit and the value of the exponent α are given.Back to article page