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International Journal of Genomics
Volume 2016, Article ID 7604641, 11 pages
http://dx.doi.org/10.1155/2016/7604641
Research Article

Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology

1School of Software, Tianjin University, Tianjin, China
2School of Computer Science and Technology, Tianjin University, Tianjin, China
3School of Information Science and Technology, Xiamen University, Xiamen, China
4College of Information Engineering, China Jiliang University, Hangzhou, Zhejiang, China
5School of Computer Science and Technology, Heilongjiang University, Harbin, China
6State Key Laboratory of Medicinal Chemical Biology, NanKai University, Tianjin, China

Received 18 April 2016; Revised 24 May 2016; Accepted 14 June 2016

Academic Editor: Qin Ma

Copyright © 2016 Jieru Zhang et al. 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

Jieru Zhang, Ying Ju, Huijuan Lu, Ping Xuan, and Quan Zou, “Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology,” International Journal of Genomics, vol. 2016, Article ID 7604641, 11 pages, 2016. https://doi.org/10.1155/2016/7604641.