Figure 2

Effects of false positive rates in prior knowledge on inference of the overall network. (a) Precision of overall network inference. (b) Recall of overall network inference. The experiments show that true knowledge improves both precision and recall of overall network inference, and the maximum degradation of inference results is bounded when the prior knowledge is imperfect.