| Genetic regulatory networks (GRNs) encode for various life processes in a living organism. These networks are made up of genetic regulatory elements that consist of genes, signaling pathways, and signal sources. Every biological process is realized by interactions among these regulatory elements. GRNs can be mathematically modeled using reaction-diffusion equations. Such models can then be used to search and study the parameter space and function space of GRNs. A framework for searching the parameter and function space has been developed in this thesis. |
