Figure 1

The workflow of our strategy. The flowchart of developing our model: First collect network structure information and experimental time profile data. Simplify the network, identify the kernel and create Boolean transfer functions for the simplified network. Experimental data are normalized, filter and converted to binary form. The parameters of the kernel pathways are trained first using genetic algorithm. Parameters of remainin pathway are then determined.