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A Combined Genetic Programming for Microarray Data Analysis

by K. Umamaheswari, Dhivya. M, Chithra. S
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 14
Year of Publication: 2013
Authors: K. Umamaheswari, Dhivya. M, Chithra. S
10.5120/13928-1793

K. Umamaheswari, Dhivya. M, Chithra. S . A Combined Genetic Programming for Microarray Data Analysis. International Journal of Computer Applications. 80, 14 ( October 2013), 13-17. DOI=10.5120/13928-1793

@article{ 10.5120/13928-1793,
author = { K. Umamaheswari, Dhivya. M, Chithra. S },
title = { A Combined Genetic Programming for Microarray Data Analysis },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 14 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number14/13928-1793/ },
doi = { 10.5120/13928-1793 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:54:32.097258+05:30
%A K. Umamaheswari
%A Dhivya. M
%A Chithra. S
%T A Combined Genetic Programming for Microarray Data Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 14
%P 13-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Microarray technology is a powerful tool to monitor gene expression or gene expression changes of hundreds or thousands of genes in a single experiment. Meta-Genetic Programming is the meta learning technique of evolving a genetic programming system to predict cancer classes for better understanding of different types of cancers and to find the possible biomarkers for diseases. A new technique which is known as Majority Voting Genetic Programming Classifier (MVGPC) combined with meta-genetic programming (MGP) is proposed which combines meta-genetic programming and majority voting technique to predict the cancer class for a given patient sample with higher accuracy and minimum computational time. This paper also aims to provide a means to identify cancer at an early stage and hence increase the chances of survival for the patients.

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Index Terms

Computer Science
Information Sciences

Keywords

Microarray Meta-genetic programming Majority voting Feature ranking

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