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BioMed Research International
Volume 2015, Article ID 254838, 7 pages
http://dx.doi.org/10.1155/2015/254838
Research Article

METSP: A Maximum-Entropy Classifier Based Text Mining Tool for Transporter-Substrate Identification with Semistructured Text

1School of Engineering, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Maroochydore DC, QLD 4558, Australia
2School of Computer Science & Technology, Beijing Institute of Technology, Beijing 100081, China
3Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing 100871, China

Received 13 March 2015; Accepted 21 June 2015

Academic Editor: Shigehiko Kanaya

Copyright © 2015 Min Zhao et al. This is an open access paper 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

Min Zhao, Yanming Chen, Dacheng Qu, and Hong Qu, “METSP: A Maximum-Entropy Classifier Based Text Mining Tool for Transporter-Substrate Identification with Semistructured Text,” BioMed Research International, vol. 2015, Article ID 254838, 7 pages, 2015. https://doi.org/10.1155/2015/254838.