Particle Swarm Optimization-Assisted Multilayer Ensemble Model to predict DNA 4mC sites

DNA methylation is an epigenetic modification that plays a crucial role in various biological processes, including gene expression regulation, cell differentiation, and the development of diseases such as cancer. Identifying DNA methylation patterns is essential for understanding its functional implications. Traditional experimental methods for detecting DNA methylation are costly, time-consuming, and inefficient for analyzing large-scale sequencing data. In this research, we explore the application of machine learning techniques to accurately identify DNA methylation sites. Our research aims to develop a Particle Swarm Optimization-Assisted Multilayer Ensemble Model (PSO-MEM) with several significant contributions. These include extracting semantic features from genetic sequences, optimizing feature dimensions to reduce classification errors, developing a multilayer dynamic approach that transfers learned information between layers during classification, and…