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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

https://doi.org/10.1186/s13040-015-0040-x

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 and author comments to reviewers are available by contacting info@biomedcentral.com.

Original Submission
15 Oct 2014 Submitted Original manuscript
Author responded Author comments
Reviewed Reviewer Report
Resubmission - Version 2
Submitted Manuscript version 2
Publishing
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 and author comments to reviewers are available by contacting info@biomedcentral.com. All previous versions of the manuscript and all author responses to the reviewers are also available.

You can find further information about the peer review system here.

Authors’ Affiliations

(1)
Tandy School of Computer Science, Department of Mathematics, University of Tulsa
(2)
Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic
(3)
Mayo Clinic Vaccine Research Group, Mayo Clinic
(4)
Laureate Institute for Brain Research

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