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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 370640, 14 pages
http://dx.doi.org/10.1155/2015/370640
Research Article

A Novel Hybrid Dimension Reduction Technique for Undersized High Dimensional Gene Expression Data Sets Using Information Complexity Criterion for Cancer Classification

1Department of Statistics, Faculty of Science, Firat University, 23119 Elazig, Turkey
2Department of Business Analytics and Statistics, The University of Tennessee, Knoxville, TN 37996, USA

Received 24 December 2014; Accepted 18 February 2015

Academic Editor: David A. Winkler

Copyright © 2015 Esra Pamukçu 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

Esra Pamukçu, Hamparsum Bozdogan, and Sinan Çalık, “A Novel Hybrid Dimension Reduction Technique for Undersized High Dimensional Gene Expression Data Sets Using Information Complexity Criterion for Cancer Classification,” Computational and Mathematical Methods in Medicine, vol. 2015, Article ID 370640, 14 pages, 2015. https://doi.org/10.1155/2015/370640.