Gene Co-Expression Network Analysis

In the gene co-expression network, each gene corresponds to a node. And if the pairwise expression similarity score of a pair of nodes is higher than a certain threshold, a pair of nodes will be connected by an undirected edge. Constructing a co-expression network from gene expression data sets has become a widely used alternative to conventional analysis methods. Large-scale gene co-expression networks have been applied, for example, to prove that functionally related genes are usually co-expressed in various data sets and different organisms. By constructing co-expression networks for different conditions (such as normal and cancerous states), it is possible to study changes in disease-mediated network connections. CD ComputaBio provides corresponding gene co-expression network analysis. Our gene co-expression network analysis have proven to be very useful for understanding the biochemical basis of physiological events at different stages of drug development (even in different fields such as materials science). https://www.computabio.com/gene-co-expression-network-analysis.html