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Prediction of donor splice sites using random forest with a new sequence encoding approach

  • Prabina Kumar Meher1,
  • Tanmaya Kumar Sahu2 and
  • Atmakuri Ramakrishna Rao2Email author
Contributed equally
BioData Mining20169:4

https://doi.org/10.1186/s13040-016-0086-4

Received: 2 March 2015

Accepted: 19 January 2016

Published: 22 January 2016

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Open Peer Review reports

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

Original Submission
2 Mar 2015 Submitted Original manuscript
Author responded Author comments
Reviewed Reviewer Report
Resubmission - Version 2
Submitted Manuscript version 2
Author responded Author comments
Reviewed Reviewer Report
Reviewed Reviewer Report
Resubmission - Version 3
Submitted Manuscript version 3
Reviewed Reviewer Report
Reviewed Reviewer Report
Resubmission - Version 4
Submitted Manuscript version 4
Publishing
19 Jan 2016 Editorially accepted
22 Jan 2016 Article published 10.1186/s13040-016-0086-4

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)
Division of Statistical Genetics, Indian Agricultural Statistics Research Institute, New Delhi, India
(2)
Centre for Agricultural Bioinformatics, Indian Agricultural Statistics Research Institute, New Delhi, India

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