Robust gene coexpression networks using signed distance correlation.

ABSTRACT:

Motivation

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/proteins, using a network of gene coexpression data that includes functional annotations. However, the lack of trustworthy functional annotations can impede the validation of such networks. Hence, there is a need for a principled method to construct gene coexpression networks that capture biological information and are structurally stable even in the absence of functional information.

Results

We introduce the concept of signed distance correlation as a measure of dependency between two variables, and apply it to generate gene coexpression networks. Distance correlation offers a more in

SUBMITTER: Pardo-Diaz J 

PROVIDER: S-EPMC8557847 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature