Original paper
Netter: re-ranking gene network inference predictions using structural network properties
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
Journal
Volume
17
Issue
1
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Notes
History