Speaker
Yi-Kai Mo
Description
The mechanisms through which evolution shapes biological organisms remain a mystery. It has been hypothesized that organisms evolve to increase their information. We consider the evolution of a population of Boolean networks, which we take as models of gene regulatory networks, through an evolutionary game framework utilizing mutation and fitness. Fitness is a function of the mutual information (MI) in gene expression over the attractor of the network’s dynamics. By studying the symmetry of the Boolean functions in the networks, we show that there exists a phase transition in the evolved state as the rate of mutation changes.
| Academic year | 3rd year |
|---|---|
| Research Advisor | Dr. Kevin E Bassler |
