Discussion and conclusion
In our proposed study, we used Genetic Algorithm to infer rewiring of the apoptotic network. The most frequent rewiring events are selected, and most of them were found to be consistent with existing literature. However, using Genetic Algorithm we may not find a globally optimal solution, as some of the network rewiring events might have been missed by the Genetic Algorithm based searching. So far we have included only 18 out of 32 proteins in the Yaffe's data. A network with more signalling data may help us understand the pathway changes in more comprehensive ways. In future, with expanded apoptosis network and more proteins, we would be able to detect more network alterations through comparisons between simulation data and experimental data. Also, beside Genetic Algorithm we plan to use other computational techniques (e.g. Simulated Annealing). In this paper Yaffes data set has been used. Our next goal is to construct a larger network model for cancer cell phenotypic responses which can simulate observations for some other datasets taken from multiple sources.