Natural Science

Vol.9 No.9(2017), Paper ID 79276, 20 pages

DOI:10.4236/ns.2017.99032

 

pLoc-mGpos: Incorporate Key Gene Ontology Information into General PseAAC for Predicting Subcellular Localization of Gram-Positive Bacterial Proteins

 

Xuan Xiao, Xiang Cheng, Shengchao Su, Qi Mao, Kuo-Chen Chou

 

Computer Department, Jingdezhen Ceramic Institute, Jingdezhen, China
Computer Department, Jingdezhen Ceramic Institute, Jingdezhen, China
College of Information Science and Technology, Donghua University, Shanghai, China
College of Information Science and Technology, Donghua University, Shanghai, China
The Gordon Life Science Institute, Boston, USA
Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
Faculty of Computing and Information Technology in Rabigh, King Abdul Aziz University, Jeddah, Saudi Arabia

 

Copyright © 2017 Xuan Xiao, Xiang Cheng, Shengchao Su, Qi Mao, Kuo-Chen Chou 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


Xiao, X. , Cheng, X. , Su, S. , Mao, Q. and Chou, K. (2017) pLoc-mGpos: Incorporate Key Gene Ontology Information into General PseAAC for Predicting Subcellular Localization of Gram-Positive Bacterial Proteins. Natural Science, 9, 330-349. doi: 10.4236/ns.2017.99032.

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