report

The results of the program can be interpreted in correspondence to the four major functions of the program: Random Network Generation, Simulation, Inference, and Intervention.

After running the Random Network Generation procedure, the program successfully compiled a sample 5-node network with accepted node values to determine the state of a network.

The Boolean network was then translated into a trajectory format. This format, when executed by the Inference method, reversely engineered the trajectory into the original network. When the outputs were compared, both Boolean networks were identical which proved the procedures were accurate.

Finally, when the abnormal Boolean network was generated, it was inputted into the Intervention function of the program. The five-node network was intervened, and the program concluded that a one step adjustment could be made to the program to alter the value of a node and as a result, completely relieve the network of its abnormal node so the network would function properly.

Networks with six and seven nodes were experimented with as well, and although the program took longer to run, the results of the Intervention process also provided only few changes that would provide a patient with genetic diseases to suppress the abnormal gene in a short amount of time.

Recently, a one-hundred node network was randomly generated and analyzed through the SIAN procedures. Although the network took nearly a day to finish processing, the results were as accurate as the networks containing four, five, and six nodes. This more realistic network proves that real life genetic networks with a large number of nodes can be modeled and investigated with impeccable results.