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Accurate prediction of major histocompatibility complex class II epitopes by sparse representation via 1-minimization

  • Clemente Aguilar-Bonavides1Email author,
  • Reinaldo Sanchez-Arias2 and
  • Cristina Lanzas1, 3
Contributed equally
BioData Mining20147:23

https://doi.org/10.1186/1756-0381-7-23

Received: 3 March 2014

Accepted: 25 October 2014

Published: 4 November 2014

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Open Peer Review reports

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

Original Submission
3 Mar 2014 Submitted Original manuscript
13 Jun 2014 Reviewed Reviewer Report - Jason Moore
10 Sep 2014 Author responded Author comments - Clemente Aguilar-Bonavides
Resubmission - Version 2
10 Sep 2014 Submitted Manuscript version 2
19 Oct 2014 Reviewed Reviewer Report - Jason Moore
Resubmission - Version 3
Submitted Manuscript version 3
Publishing
25 Oct 2014 Editorially accepted
4 Nov 2014 Article published 10.1186/1756-0381-7-23

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)
National Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, USA
(2)
Department of Applied Mathematics, Wentworth Institute of Technology, Boston, USA
(3)
Department of Biomedical and Diagnostic Sciences, University of Tennessee, Knoxville, USA

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