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
Related Articles
- EP ID EP611216
- DOI 10.14569/IJACSA.2019.0100716
- Views 108
- Downloads 0
Global and Local Characterization of Rock Classification by Gabor and DCT Filters with a Color Texture Descriptor
In the automatic classification of colored natural textures, the idea of proposing methods that reflect human perception arouses the enthusiasm of researchers in the field of image processing and computer vision. Therefo...
Rule Adaptation in Collaborative Working Environments using RBAC Model
Collaborative Working Environments (CWEs) are getting prominence these days. With the increase in the use of collaboration tools and technologies, a lot of sharing and privacy issues have also emerged. Due to its dynamic...
A Decision Tree Classification Model for University Admission System
Data mining is the science and techniques used to analyze data to discover and extract previously unknown patterns. It is also considered a main part of the process of knowledge discovery in databases (KDD). In this pape...
Intelligent Collaborative Quality Assurance System for Wind Turbine Supply Chain Management
To determine the root causes or sources of variance of bad quality in supply chains is usually more difficult because multiple parties are involved in the current global manufacturing environment. Each component within a...
Medical Image De-Noising Schemes using Wavelet Transform with Fixed form Thresholding
Medical Imaging is currently a hot area of bio-medical engineers, researchers and medical doctors as it is extensively used in diagnosing of human health and by health care institutes. The imaging equipment is the device...