Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysis
© Ma et al; licensee BioMed Central Ltd. 2011
Received: 7 September 2010
Accepted: 12 January 2011
Published: 12 January 2011
Open Peer Review reports
Pre-publication versions of this article and author comments to reviewers are available by contacting email@example.com.
|7 Sep 2010||Submitted||Original manuscript|
|22 Oct 2010||Reviewed||Reviewer Report - Steve Horvath|
|14 Nov 2010||Reviewed||Reviewer Report - Bin Zhang|
|10 Dec 2010||Author responded||Author comments - Shuangge Ma|
|Resubmission - Version 2|
|10 Dec 2010||Submitted||Manuscript version 2|
|14 Dec 2010||Reviewed||Reviewer Report - Steve Horvath|
|5 Jan 2011||Reviewed||Reviewer Report - Bin Zhang|
|11 Jan 2011||Author responded||Author comments - Shuangge Ma|
|Resubmission - Version 3|
|11 Jan 2011||Submitted||Manuscript version 3|
|12 Jan 2011||Editorially accepted|
|12 Jan 2011||Article published||10.1186/1755-8794-4-5|
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 firstname.lastname@example.org. All previous versions of the manuscript and all author responses to the reviewers are also available.
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