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Cancer classification from DNA microarray data using mRMR and artificial neural network

Akhand, M. A. H and Miah, Md. Asaduzzaman and Mir , Hussain Kabir and Rahman, M.M. Hafizur (2016) Cancer classification from DNA microarray data using mRMR and artificial neural network. In: 2nd International Conference on Engineering, Technologies, and Social Sciences (ICETSS 2016), 22nd-24th Aug. 2016, Kuala Lumpur. (Unpublished)

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Abstract

Cancer is the uncontrolled growth of abnormal cells in the body and is a major death cause now a days. Cancer may arise anywhere in the human body, and it names are remarked as body parts such as colon cancer, lung cancer, breast cancer. It is notable that cancer treatment is much easier in the initial stage rather than it outbreaks. DNA microarray based gene expression profiling has become efficient technique for cancer identification in early stage and a number of studies are available in this regard. Existing methods used different feature selection methods (e.g., wrapper and filter approaches) to select relevant genes and then employed distinct classifiers (e.g., artificial neural network, Naive Bayes, Decision Tree, Support Vector Machine) to identify cancer. This study considered information theoretic based minimum Redundancy Maximum Relevance (mRMR)method to select important genes and then employed artificial neural network (ANN) for cancer classification. Proposed mRMR-ANN method has been tested on a suite of benchmark data sets of various cancer. Experimental results revealed the proposed method as an effective method for cancer classification when performance compared with several related exiting methods.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 6724/51762
Uncontrolled Keywords: Cancer classification, DNA microarray, mRMR, artificial neural network
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Dr. M.M. Hafizur Rahman
Date Deposited: 23 Aug 2016 15:26
Last Modified: 23 Aug 2016 15:26
URI: http://irep.iium.edu.my/id/eprint/51762

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