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BioData Mining

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Supervised learning methods in modeling of CD4+ T cell heterogeneity

  • Pinyi Lu1, 2,
  • Vida Abedi1, 2,
  • Yongguo Mei1, 2,
  • Raquel Hontecillas1, 2,
  • Stefan Hoops1, 2,
  • Adria Carbo3 and
  • Josep Bassaganya-Riera1, 2Email author
BioData Mining20158:27

https://doi.org/10.1186/s13040-015-0060-6

Received: 24 December 2014

Accepted: 25 August 2015

Published: 4 September 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
24 Dec 2014 Submitted Original manuscript
Author responded Author comments
Reviewed Reviewer Report
Reviewed Reviewer Report
Resubmission - Version 2
Submitted Manuscript version 2
Reviewed Reviewer Report
Resubmission - Version 3
Submitted Manuscript version 3
Publishing
25 Aug 2015 Editorially accepted
4 Sep 2015 Article published 10.1186/s13040-015-0060-6

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)
The Center for Modeling Immunity to Enteric Pathogens, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, USA
(2)
Nutritional Immunology and Molecular Medicine Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, USA
(3)
BioTherapeutics Inc, Blacksburg, USA

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