Biological organisms can be understood through analysis of genetic interactions. Modeling this functionality is difficult and error-prone. To do better, we will develop artificial random graphs which allow mimicking reality. Generating random graphs is difficult, and involves probability
theory and statistics, differential equations, etc... Moreover, this has to be implemented efficientlyso computers can handle the data and calculate useful conclusions.