Artificial Bee Colony Algorithms in Gene Expression Studies: A Case Study

Artificial Bee Colony (ABC) algorithms are employed in various studies, including gene expression studies, to optimise gene selection and classification models. By mimicking bees’ foraging behaviour, ABC algorithms efficiently search vast gene datasets, identifying relevant biomarkers and unravelling complex genetic mechanisms underlying diseases or biological processes. This book chapter explores the application of ABC algorithms in gene expression studies, presenting a comprehensive case study to demonstrate their efficacy. The chapter delves into the intersection of bioinformatics and optimisation techniques, shedding light on how ABC algorithms contribute to unravelling the complexities of gene expression patterns. Through detailed explorations of methodologies, results, and implications, this chapter aims to provide valuable insights into the potential of ABC algorithms for enhancing our understanding of genetic processes.