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Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Detecting gene-gene interactions using a permutation-based random forest method

  • Jing Li1,
  • James D. Malley2,
  • Angeline S. Andrew3,
  • Margaret R. Karagas3 and
  • Jason H. Moore4, 5Email author
BioData Mining20169:14

https://doi.org/10.1186/s13040-016-0093-5

Received: 7 October 2015

Accepted: 30 March 2016

Published: 6 April 2016

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Open Peer Review reports

Pre-publication versions of this article are available by contacting info@biomedcentral.com.

Original Submission
7 Oct 2015 Submitted Original manuscript
4 Nov 2015 Reviewed Reviewer Report - Elena Gusareva
21 Dec 2015 Reviewed Reviewer Report - Stacey Winham
28 Feb 2016 Author responded Author comments - Jing Li
Resubmission - Version 2
28 Feb 2016 Submitted Manuscript version 2
11 Mar 2016 Reviewed Reviewer Report - Stacey Winham
Resubmission - Version 3
Submitted Manuscript version 3
Publishing
30 Mar 2016 Editorially accepted
6 Apr 2016 Article published 10.1186/s13040-016-0093-5

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 info@biomedcentral.com.

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

Authors’ Affiliations

(1)
Department of Genetics, Geisel School of Medicine, Dartmouth College, Hanover, USA
(2)
Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, USA
(3)
Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, USA
(4)
Institute for Biomedical Informatics, University of Pennsylvania, Pennsylvania, USA
(5)
Department of Biostatistics and Epidemiology, The Perelman School of Medicine, University of Pennsylvania, Pennsylvania, USA

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