Identification of common coexpression modules based on quantitative network comparison.

ABSTRACT:

Background

Finding common molecular interactions from different samples is essential work to understanding diseases and other biological processes. Coexpression networks and their modules directly reflect sample-specific interactions among genes. Therefore, identification of common coexpression network or modules may reveal the molecular mechanism of complex disease or the relationship between biological processes. However, there has been no quantitative network comparison method for coexpression networks and we examined previous methods for other networks that cannot be applied to coexpression network. Therefore, we aimed to propose quantitative comparison methods for coexpression networks and to find common biological mechanisms between Huntington's disease and brain aging by the

SUBMITTER: Jo Y 

PROVIDER: S-EPMC5998758 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature