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Figure 3 | Algorithms for Molecular Biology

Figure 3

From: A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data

Figure 3

Node 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.

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