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The Scientific World Journal
Volume 2013 (2013), Article ID 393570, 7 pages
http://dx.doi.org/10.1155/2013/393570
Research Article

A Robust Hybrid Approach Based on Estimation of Distribution Algorithm and Support Vector Machine for Hunting Candidate Disease Genes

1Devision of Medical Genetics, Tongji University School of Medicine, Shanghai 200092, China
2Key Lab for Basic Research in Cardiology, Ministry of Education, Tongji University, Shanghai 200092, China

Received 23 October 2012; Accepted 25 November 2012

Academic Editors: R. Jiang, W. Tian, J. Wan, and X. Zhao

Copyright © 2013 Li Li 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 [4 citations]

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

  • Ming Yang, Jia-Lei Chen, Li-Wen Xu, and Guang Ji, “Navigating Traditional Chinese Medicine Network Pharmacology and Computational Tools,” Evidence-Based Complementary and Alternative Medicine, vol. 2013, pp. 1–23, 2013. View at Publisher · View at Google Scholar
  • J. M. Andrade-Garda, J. R. Rabunal, J. Dorado, A. Pazos, C. Fernandez-Lozano, C. Canto, and M. Gestal, “Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification,” Scientific World Journal, 2013. View at Publisher · View at Google Scholar
  • Imtiaz Hussain Khan, “A Comparative Study of EAG and PBIL on Large-Scale Global Optimization Problems,” Applied Computational Intelligence and Soft Computing, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Qingyang Xu, Chengjin Zhang, and Li Zhang, “A Fast Elitism Gaussian Estimation of Distribution Algorithm and Application for PID Optimization,” Scientific World Journal, 2014. View at Publisher · View at Google Scholar