Original paper

Netter: re-ranking gene network inference predictions using structural network properties

Volume: 17, Issue: 1
Published: Feb 9, 2016
Abstract
Many algorithms have been developed to infer the topology of gene regulatory networks from gene expression data. These methods typically produce a ranking of links between genes with associated confidence scores, after which a certain threshold is chosen to produce the inferred topology. However, the structural properties of the predicted network do not resemble those typical for a gene regulatory network, as most algorithms only take into...
Paper Details
Title
Netter: re-ranking gene network inference predictions using structural network properties
Published Date
Feb 9, 2016
Volume
17
Issue
1
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