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Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery

  • Nathaniel M. Crabtree1,
  • Jason H. Moore2Email author,
  • John F. Bowyer3 and
  • Nysia I. George4
BioData Mining201710:13

https://doi.org/10.1186/s13040-017-0134-8

Received: 14 December 2016

Accepted: 18 April 2017

Published: 24 April 2017

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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
14 Dec 2016 Submitted Original manuscript
12 Jan 2017 Reviewed Reviewer Report - Jingyu Guo
16 Jan 2017 Reviewed Reviewer Report - Michael Zimmermann
19 Mar 2017 Author responded Author comments - Nathaniel Crabtree
Resubmission - Version 2
19 Mar 2017 Submitted Manuscript version 2
Publishing
18 Apr 2017 Editorially accepted
24 Apr 2017 Article published 10.1186/s13040-017-0134-8

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)
Bioinformatics, Department of Information Science, University of Arkansas at Little Rock and University of Arkansas for Medical Sciences Joint Bioinformatics Graduate Program
(2)
Division of Informatics, Department of Biostatistics and Epidemiology, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania
(3)
Division of Neurotoxicology, National Center for Toxicological Research, FDA
(4)
Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, FDA

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