Fig. 6

The InferA algorithm effectively integrates the prior knowledge in the real-world data analysis. Summarizes the recall (a), precision (b) and F1 score (c) of arc, adjacency and path for different experiments compared to K_Net. Error bars in this figure represent standard deviations among 50 experiments. d A learned protein phosphorylation network compared to K_Net. Solid black arcs showed the recovered true arcs from K_Net; dashed red arcs were the ones not recovered from K_Net; solid red arcs represent the new arcs learned by FGES