Cancer Classification from DNA Microarray Data using mRMR and Artificial Neural Network
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 7
Abstract
Cancer is the uncontrolled growth of abnormal cells in the body and is a major death cause nowadays. 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 to select relevant genes and then employed distinct classifiers 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 datasets of various cancer. Experimental results revealed the proposed method as an effective method for cancer classification when performance compared with several related exiting methods.
Authors and Affiliations
M. A. H. Akhand, Md. Asaduzzaman Miah, Mir Hussain Kabir, M. M. Hafizur Rahman
Keywords
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- EP ID EP611216
- DOI 10.14569/IJACSA.2019.0100716
- Views 109
- Downloads 0
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