Title: An optimised gene selection approach using wavelet power spectrum
Authors: Prabakaran Subramani; Rajendra Sahu; Sekhar Verma; S. Prabakaran
Addresses: Sahyadri Institue of Technolgy, NH-48, Adyar, Magalore-575009, India ' Indian Institute of Information Technology and Management, Gwalior, Madhya Pradesh, India ' Indian Institute of Information Technology, Allahabad, India ' Department of Computer Science and Engineering, SRM University, Kattankulathur, Chennai, India.
Abstract: Data mining is a boon to many fields like bioinformatics for processing a vast amount of data. In our previous paper, we proposed a novel feature selection method for microarray data classification using Wavelet Power Spectrum (WPS). In this paper, we present optimisation techniques to improve the quality of the features thus selected and to select |tight genes| from various cancer microarrays. The results show that |tight genes| thus selected were more qualitative and could be used for a wide variety of data sets. Also, |tight genes| thus selected in this mining process could be used with any existing classification approach.
Keywords: DNA microarrays; cancer microarrays; data mining; feature selection; tight genes; RPV; gene selection; wavelet power spectrum; bioinformatics; microarray data classification.
DOI: 10.1504/IJBRA.2011.043767
International Journal of Bioinformatics Research and Applications, 2011 Vol.7 No.4, pp.335 - 354
Accepted: 23 Sep 2010
Published online: 24 Jan 2015 *