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Machine learning algorithms for mode-of-action classification in toxicity assessment

  • Yile Zhang1,
  • Yau Shu Wong1,
  • Jian Deng1,
  • Cristina Anton2,
  • Stephan Gabos3,
  • Weiping Zhang4,
  • Dorothy Yu Huang5Email author and
  • Can Jin6
BioData Mining20169:19

https://doi.org/10.1186/s13040-016-0098-0

Received: 13 October 2015

Accepted: 30 April 2016

Published: 13 May 2016

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Open Peer Review reports

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

Original Submission
13 Oct 2015 Submitted Original manuscript
22 Nov 2015 Reviewed Reviewer Report - Denis Fourches
17 Jan 2016 Reviewed Reviewer Report - Vida Abedi
4 Apr 2016 Author responded Author comments - Yile Zhang
Resubmission - Version 2
4 Apr 2016 Submitted Manuscript version 2
24 Apr 2016 Reviewed Reviewer Report - Denis Fourches
Resubmission - Version 3
Submitted Manuscript version 3
Publishing
30 Apr 2016 Editorially accepted
13 May 2016 Article published 10.1186/s13040-016-0098-0

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 Mathematical and Statistical Science, University of Alberta, Edmonton, Canada
(2)
Department of Mathematics and Statistics, Grant MacEwan University, Edmonton, Canada
(3)
Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada
(4)
Alberta Health, Edmonton, Canada
(5)
Alberta Centre for Toxicology, University of Calgary, Calgary, Canada
(6)
AACEA Biosciences Inc, San Diego, USA

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