Generating weighted and thresholded gene coexpression networks using signed distance correlation.

ABSTRACT: Even within well-studied organisms, many genes lack useful functional annotations. One way to generate such functional information is to infer biological relationships between genes or proteins, using a network of gene coexpression data that includes functional annotations. Signed distance correlation has proved useful for the construction of unweighted gene coexpression networks. However, transforming correlation values into unweighted networks may lead to a loss of important biological information related to the intensity of the correlation. Here we introduce a principled method to construct weighted gene coexpression networks using signed distance correlation. These networks contain weighted edges only between those pairs of genes whose correlation value is higher than a given th

SUBMITTER: Pardo-Diaz J 

PROVIDER: S-EPMC7613200 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature