Untangling statistical and biological models to understand network inference: The need for a genomics network ontology

Untangling statistical and biological models to understand network inference: The need for a genomics network ontology

In this paper, we shed light on approaches that are currently used to infer networks from gene expression data with respect to their biological meaning. As we will show, the biological interpretation of these networks depends on the chosen theoretical perspective. For this reason, we distinguish a {...

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Bibliographic Details
Main Authors: Frank eEmmert-Streib, Matthias eDehmer, Benjamin eHaibe-Kains
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-08-01
Series:Frontiers in Genetics
Subjects:
Gene Regulatory Networks
Systems Biology
Computational genomics
mathematical modeling
epistemology
statistical inference
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00299/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00299/full

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