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The Scientific World Journal
Volume 2014, Article ID 618412, 10 pages
http://dx.doi.org/10.1155/2014/618412
Research Article

Supervised Wavelet Method to Predict Patient Survival from Gene Expression Data

1Department of Epidemiology & Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
2School of Computing and Mathematical Sciences, Liverpool John Moores University, UK
3Modeling of Noncommunicable Disease Research Center, Department of Biostatistics and Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
4Research Center for Health Sciences and Department of Biostatistics and Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran

Received 28 July 2014; Accepted 3 October 2014; Published 3 November 2014

Academic Editor: David E. Misek

Copyright © 2014 Maryam Farhadian 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

Maryam Farhadian, Paulo J. G. Lisboa, Abbas Moghimbeigi, Jalal Poorolajal, and Hossein Mahjub, “Supervised Wavelet Method to Predict Patient Survival from Gene Expression Data,” The Scientific World Journal, vol. 2014, Article ID 618412, 10 pages, 2014. https://doi.org/10.1155/2014/618412.