ROC and PR results, simulated data.

<p>The Figure shows receiver operator characteristic (ROC) and precision to recall curves (PR) for network reconstruction on simulated data, for different network sizes and different numbers of time points. A, B: ROC and PR curves for the network with 11 genes, C,D: ROC and PR curves for network with 100 genes, E.F: ROC and PR curves, respectively, for network with 1000 genes. Black: 20 time points used for network reconstruction, red: 40 time points, blue: 200 time points. It can clearly be seen how performance deteriorates with increasing network size and decreasing number of different time points. We note that, due to the three-class classification problem underlying the graphs, random guessing of network topologies would not yield a diagonal line in the ROC plots, but a significantly lower line with an area under the curve of approximately 0.33.