Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA).

ABSTRACT: Biological and medical sciences are increasingly acknowledging the significance of gene co-expression-networks for investigating complex-systems, phenotypes or diseases. Typically, complex phenotypes are investigated under varying conditions. While approaches for comparing nodes and links in two networks exist, almost no methods for the comparison of multiple networks are available and-to best of our knowledge-no comparative method allows for whole transcriptomic network analysis. However, it is the aim of many studies to compare networks of different conditions, for example, tissues, diseases, treatments, time points, or species. Here we present a method for the systematic comparison of an unlimited number of networks, with unlimited number of transcripts: Co-expression Differential Netwo

SUBMITTER: Morselli Gysi D 

PROVIDER: S-EPMC7561188 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature