Vicus: Exploiting local structures to improve network-based analysis of biological data.

ABSTRACT: Biological networks entail important topological features and patterns critical to understanding interactions within complicated biological systems. Despite a great progress in understanding their structure, much more can be done to improve our inference and network analysis. Spectral methods play a key role in many network-based applications. Fundamental to spectral methods is the Laplacian, a matrix that captures the global structure of the network. Unfortunately, the Laplacian does not take into account intricacies of the network's local structure and is sensitive to noise in the network. These two properties are fundamental to biological networks and cannot be ignored. We propose an alternative matrix Vicus. The Vicus matrix captures the local neighborhood structure of the network and

SUBMITTER: Wang B 

PROVIDER: S-EPMC5638230 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature