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BioData Mining

Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Using random walks to identify cancer-associated modules in expression data

  • Deanna Petrochilos1Email author,
  • Ali Shojaie2,
  • John Gennari1 and
  • Neil Abernethy1
BioData Mining20136:17

https://doi.org/10.1186/1756-0381-6-17

Received: 17 December 2012

Accepted: 24 September 2013

Published: 15 October 2013

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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
17 Dec 2012 Submitted Original manuscript
15 Mar 2013 Reviewed Reviewer Report - Clarence Zhang
16 Mar 2013 Reviewed Reviewer Report - Jason Moore
20 Mar 2013 Reviewed Reviewer Report - Georgios Pavlopoulos
20 Jul 2013 Author responded Author comments - Deanna Petrochilos
Resubmission - Version 2
20 Jul 2013 Submitted Manuscript version 2
26 Jul 2013 Author responded Author comments - Deanna Petrochilos
Resubmission - Version 3
26 Jul 2013 Submitted Manuscript version 3
Resubmission - Version 4
Submitted Manuscript version 4
9 Sep 2013 Reviewed Reviewer Report - Georgios Pavlopoulos
10 Sep 2013 Reviewed Reviewer Report - Jason Moore
Resubmission - Version 5
Submitted Manuscript version 5
Publishing
24 Sep 2013 Editorially accepted
15 Oct 2013 Article published 10.1186/1756-0381-6-17

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)
Biomedical and Health Informatics, Dept of Biomedical Informatics and Medical Education, University of Washington, Seattle, USA
(2)
Department of Biostatistics, University of Washington, Seattle, USA

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