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Differential co-expression network centrality and machine learning feature selection for identifying susceptibility hubs in networks with scale-free structure

  • Caleb A Lareau1,
  • Bill C White1,
  • Ann L Oberg2, 3 and
  • Brett A McKinney1, 4Email author
BioData Mining20158:5

Received: 15 October 2014

Accepted: 18 January 2015

Published: 3 February 2015

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Open Peer Review reports

Pre-publication versions of this article are available by contacting

Original Submission
15 Oct 2014 Submitted Original manuscript
Author responded Author comments
Reviewed Reviewer Report
Resubmission - Version 2
Submitted Manuscript version 2
18 Jan 2015 Editorially accepted
3 Feb 2015 Article published 10.1186/s13040-015-0040-x

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article are available by contacting

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Authors’ Affiliations

Tandy School of Computer Science, Department of Mathematics, University of Tulsa, Tulsa, USA
Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, USA
Mayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, USA
Laureate Institute for Brain Research, Tulsa, USA