A nonparametric significance test for sampled networks.

ABSTRACT:

Motivation

Our work is motivated by an interest in constructing a protein-protein interaction network that captures key features associated with Parkinson's disease. While there is an abundance of subnetwork construction methods available, it is often far from obvious which subnetwork is the most suitable starting point for further investigation.

Results

We provide a method to assess whether a subnetwork constructed from a seed list (a list of nodes known to be important in the area of interest) differs significantly from a randomly generated subnetwork. The proposed method uses a Monte Carlo approach. As different seed lists can give rise to the same subnetwork, we control for redundancy by constructing a minimal seed list as the starting point for the significance test. Th

SUBMITTER: Elliott A 

PROVIDER: S-EPMC5870844 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature