Figure 7.

Experiment design of evaluating the Fundamental Boolean network inference. The blue arrows represent the processes using BoolNet and brown arrows represent the processes using our FBNNet tools. The green arrows represent the evaluation process. (A) We use the BoolNet script loadNetwork.R to load pre-defined networks from files and then generate the time series and networks. (B) We use the time series generated from BoolNet and the new R package, FBNNet, to generate FBNs. (C) We reconstruct the time series via the FBM. (D) To evaluate the FBM, we rebuild the BoolNet type network based on the reconstructed time series; and (E) we evaluate the FBN inference methods by comparing the generated time series and the generated BoolNet type of network with the original time series and network that were generated in step A.