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BioMed Research International
Volume 2016, Article ID 4525786, 5 pages
Research Article

Positive-Unlabeled Learning for Pupylation Sites Prediction

1School of Electronic Engineering, Dongguan University of Technology, Dongguan 523808, China
2School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China

Received 11 May 2016; Revised 26 June 2016; Accepted 5 July 2016

Academic Editor: Qin Ma

Copyright © 2016 Ming Jiang and Jun-Zhe Cao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Ming Jiang and Jun-Zhe Cao, “Positive-Unlabeled Learning for Pupylation Sites Prediction,” BioMed Research International, vol. 2016, Article ID 4525786, 5 pages, 2016.