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The Scientific World Journal
Volume 2014, Article ID 195470, 9 pages
http://dx.doi.org/10.1155/2014/195470
Research Article

A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis

1Department of Computer Science and Engineering, RMK Engineering College, Anna University, Chennai, India
2Department of Information Science and Technology, Anna University, Chennai, India

Received 22 January 2014; Revised 20 June 2014; Accepted 2 July 2014; Published 6 August 2014

Academic Editor: Liyuan Li

Copyright © 2014 Jaison Bennet 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 [7 citations]

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

  • Hanaa Salem, Gamal Attiya, and Nawal El-Fishawy, “Intelligent decision support system for breast cancer diagnosis by gene expression profiles,” 2016 33rd National Radio Science Conference (NRSC), pp. 421–430, . View at Publisher · View at Google Scholar
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  • Puspanjali Mohapatra, and Chakravarty, “Modified PSO based feature selection for Microarray data classification,” 2015 IEEE Power, Communication and Information Technology Conference, PCITC 2015 - Proceedings, pp. 703–709, 2016. View at Publisher · View at Google Scholar
  • Arunkumar, and Ramakrishnan, “Modified fuzzy rough quick reduct algorithm for feature selection in cancer microarray data,” Asian Journal of Information Technology, vol. 15, no. 2, pp. 199–210, 2016. View at Publisher · View at Google Scholar
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  • Premalatha, Sivasubramanian, and Gunavathi, “A survey on feature selection methods in microarray gene expression data for cancer classification,” Research Journal of Pharmacy and Technology, vol. 10, no. 5, pp. 1395–1401, 2017. View at Publisher · View at Google Scholar