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BioData Mining

Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Gene set analysis controlling for length bias in RNA-seq experiments

  • Xing Ren1,
  • Qiang Hu2,
  • Song Liu2,
  • Jianmin Wang2 and
  • Jeffrey C. Miecznikowski1Email author
BioData Mining201710:5

https://doi.org/10.1186/s13040-017-0125-9

Received: 23 March 2016

Accepted: 11 January 2017

Published: 6 February 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
23 Mar 2016 Submitted Original manuscript
16 Jun 2016 Reviewed Reviewer Report - Ravi Mathur
3 Jul 2016 Reviewed Reviewer Report - Ka-Chun Wong
11 Oct 2016 Author responded Author comments - Xing Ren
Resubmission - Version 2
11 Oct 2016 Submitted Manuscript version 2
31 Oct 2016 Reviewed Reviewer Report - Ka-Chun Wong
8 Nov 2016 Reviewed Reviewer Report - Ravi Mathur
Resubmission - Version 3
Submitted Manuscript version 3
Publishing
11 Jan 2017 Editorially accepted
6 Feb 2017 Article published 10.1186/s13040-017-0125-9

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)
Department of Biostatistics, SUNY University at Buffalo, Buffalo, USA
(2)
Department of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, USA

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