International Journal of Advanced Computing and Communication Systems

Mining Frequent Gene Expression Intervals and Association Rules on Microarray Dataset

Vengateshkumar R, Research & Development centre, Bharathiar University, Coimbatore, Tamil Nadu, India.

Lawrance R, Department of Computer Applications,Ayya Nadar Janaki Ammal College, Sivakasi, Tamil Nadu, India.

International Journal of Advanced Computing and Communication Systems

Received On :

Revised On :

Accepted On :

Published On :

Volume 06, Issue 01

Page No :015-019

Abstract

Data Mining is one of the interdisciplinary fields on the research area. Association rule mining is a data mining technique that plays a vital role in the field of Bio-informatics. Microarray technology is extensively used by the researchers to extract meaningful relations among genes. In this research paper, new association method for microarray gene association analysis called Microarray Gene Expression Interval Association (MGEIA), based on gene expression intervals and association rules has been presented. It discovers the frequent patterns and extracts significant relations among microarray genes. Association rules reveal correlation among the genes and used to provide specific gene targeting treatments.

Keywords

Data Mining, Microarray, Frequent Pattern Mining and Association Rule Mining.

Cite this Article

Vengateshkumar R and Lawrance R, “Mining Frequent Gene Expression Intervals and Association Rules on Microarray Dataset , ”International Journal of Advanced Computing and Communication Systems, pp. 001-008, March 2019.

Copyright

© 2019 Vengateshkumar R and Lawrance R. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.