Dynamical Behaviour of Mathematical Models for Genetic Regulatory Networks

The work in this thesis aims to build a knowledge of gene regulatory networks processes in order to anticipate the dynamical behaviour that arises from these networks. Therefore, we are able to provide useful information for crucial biological phenomena, as well as deep insights into networks behaviour. Following a brief review of current work on gene regulatory networks processes, new scenarios for the development of innovative models are fully investigated theoretically and numerically, using distributed and discrete time delays. Following that, a number of significant and novel discoveries are presented and thoroughly explored. The main objective of this thesis is to comprehend essential traits shared by many living creatures and to help in the treatment of genetically driven illnesses such as genetic disorders, diabetes, and cancer.