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 83
- Downloads 0
A Novel Adaptive Grey Verhulst Model for Network Security Situation Prediction
Recently, researchers have shown an increased interest in predicting the situation of incoming security situation for organization’s network. Many prediction models have been produced for this purpose, but many of these...
Cluster Formation and Cluster Head Selection Approach for Vehicle Ad-Hoc Network (VANETs) using K-Means and Floyd-Warshall Technique
Vehicular Ad-hoc Network (VANETs) is the specific form of Mobile ad-hoc networking (MANETs) in which high dynamic nodes are utilized in carrying out the operations. They are mainly used in urban areas for safety travelin...
Algorithm for Enhancing the QoS of Video Traffic over Wireless Mesh Networks
One of the major issues in a wireless mesh networks (WMNs) which needs to be solved is the lack of a viable protocol for medium access control (MAC). In fact, the main concern is to expand the application of limited wire...
An M-Learning Framework in the Podcast Form (MPF) using Context-Aware Technology
Mobile computing is rapidly transforming the world in which we live, with the advent of iPhones, iPads, tablet computers, and Android smartphones. M-learning in the podcast form (MPF) is a recent development forconveying...
Helitron’s Periodicities Identification in C.Elegans based on the Smoothed Spectral Analysis and the Frequency Chaos Game Signal Coding
Helitrons are typical rolling circle transposons which make up the bulk of eukaryotic genomes. Unlike of other DNA transposons, these transposable elements (TEs), don’t create target site duplications or end in inverted...