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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 756345, 9 pages
http://dx.doi.org/10.1155/2015/756345
Research Article

Prediction of High-Risk Types of Human Papillomaviruses Using Statistical Model of Protein “Sequence Space”

1College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China
2College of Sciences, Hangzhou Dianzi University, Hangzhou 310018, China
3Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou 310022, China
4College of Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China
5Center for Systems Biology, University of Texas at Dallas, Richardson, TX 75080, USA

Received 19 September 2014; Accepted 31 March 2015

Academic Editor: Edward J. Perkins

Copyright © 2015 Cong Wang 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

Cong Wang, Yabing Hai, Xiaoqing Liu, et al., “Prediction of High-Risk Types of Human Papillomaviruses Using Statistical Model of Protein “Sequence Space”,” Computational and Mathematical Methods in Medicine, vol. 2015, Article ID 756345, 9 pages, 2015. https://doi.org/10.1155/2015/756345.