Autism Gene Subset Selection from Microarray data – A Wrapper Approach

Autism spectrum disorder is a complex neurodevelopment that affects an individual's social behavior. Microarray analysis extensively used technique to detect autism. data can provide additional insight into the etiology of disorder. Identifying specific set genes associated with autism from microarray poses significant research challenge due its high dimensionality. However, Gene subset selection classified as np-hard problem be handled by meta-heuristic algorithm. In this paper, novel Game Theory Based Whale Optimization Algorithm proposed. The proposed algorithm uses two-person zero-sum game theory and convergence parameter increase rate avoid local optima. performance tested 23 mathematical benchmark functions compared other state-of-the-art algorithms. Further, employed wrapper-based gene model support vector machine. Furthermore, outcomes demonstrate utilizing approach capable effectively identifying autism-related desirable accuracy.