Evolutionary algorithms in genetic regulatory networks model

Understand

Genetic Regulatory Networks (GRNs) plays a vital role in the understanding of complex biological processes.

• Modeling GRNs is significantly important in order to reveal fundamental cellular processes, examine gene functions and understanding their complex relationships.
• Understanding the interactions between genes gives rise to develop better method for drug discovery and diagnosis of the disease since many diseases are characterized by abnormal behaviour of the genes.
• In this paper we have reviewed various evolutionary algorithms-based approach for modeling GRNs and discussed various opportunities and challenges.