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BioMed Research International
Volume 2014, Article ID 196858, 5 pages
http://dx.doi.org/10.1155/2014/196858
Research Article

A Hadoop-Based Method to Predict Potential Effective Drug Combination

State Key Laboratory of Microbial Metabolism and College of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China

Received 31 March 2014; Revised 5 July 2014; Accepted 15 July 2014; Published 23 July 2014

Academic Editor: Degui Zhi

Copyright © 2014 Yifan Sun 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.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Jiao Li, Si Zheng, Bin Chen, Atul J. Butte, S. Joshua Swamidass, and Zhiyong Lu, “A survey of current trends in computational drug repositioning,” Briefings in Bioinformatics, vol. 17, no. 1, pp. 2–12, 2015. View at Publisher · View at Google Scholar
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  • Li-Yue Bai, Hao Dai, Qin Xu, Muhammad Junaid, Shao-Liang Peng, Xiaolei Zhu, Yi Xiong, and Dong-Qing Wei, “Prediction of Effective Drug Combinations by an Improved Naïve Bayesian Algorithm,” International Journal of Molecular Sciences, vol. 19, no. 2, pp. 467, 2018. View at Publisher · View at Google Scholar
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