Gene expression data is data with a small number of samples and many features that indicate the expression level of genes in different samples. Considering these conditions and the complex relationships between genes, analyzing gene expression data is a difficult task.
Co-expression networks belong to the family of correlation networks, which considers correlations between genes to analyze gene expression data. Studying the topological properties of these networks will help us understand the relationships between genes better and study the factors influencing diseases more thoroughly.