Sharif Digital Repository

With the remarkable advancements in genome sequencing technology, we are witnessing a significant increase in the volume and diversity of metagenomic data. This growth has introduced new challenges in the analysis of metagenomic data, among which precise classification of these data into taxonomic groups is one of the most important. Assigning a label to a new metagenomic data at higher taxonomic levels has become a concern in metagenomic data classification. The main challenges in this area include classification accuracy, processing speed, and memory and resource consumption. These challenges have caused existing methods to fall short in fully meeting the increasing demands of this field....