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 91
- Downloads 0
OWLMap: Fully Automatic Mapping of Ontology into Relational Database Schema
Semantic web is becoming a controversial issue in current research era. There must be an automated approach to transform ontology constructs into relational database so that it can be queried efficiently. The previous re...
Implementation of NOGIE and NOWGIE for Human Skin Detection
The Digital image processing is one of the most widely implemented fields worldwide. The most applied applications of digital image processing are facial recognition, finger print recognition, medical imaging, law enforc...
Automatic Scheme for Fused Medical Image Segmentation with Nonsubsampled Contourlet Transform
Medical image segmentation has become an essential technique in clinical and research- oriented applications. Because manual segmentation methods are tedious, and semi-automatic segmentation lacks the flexibility, fully-...
A Digital Ecosystem-based Framework for Math Search Systems
Text-based search engines fall short in retrieving structured information. When searching for x(y+z) using those search engines, for example Google, it retrieves documents that contain xyz, x+y=z, (x+y+z) =xyz or a...
Age Estimation Based on AAM and 2D-DCT Features of Facial Images
This paper proposes a novel age estimation method - Global and Local feAture based Age estiMation (GLAAM) - relying on global and local features of facial images. Global features are obtained with Active Appearance Model...