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Reseach Article

Algorithm for Microarray Cancer Data Analysis using Frequent Pattern Mining and Gene Intervals

Published on June 2015 by Alagukumar. S, Lawrance. R
National Conference on Research Issues in Image Analysis and Mining Intelligence
Foundation of Computer Science USA
NCRIIAMI2015 - Number 1
June 2015
Authors: Alagukumar. S, Lawrance. R
65bd1cb0-3763-42c9-b9ce-b0c9a1b52869

Alagukumar. S, Lawrance. R . Algorithm for Microarray Cancer Data Analysis using Frequent Pattern Mining and Gene Intervals. National Conference on Research Issues in Image Analysis and Mining Intelligence. NCRIIAMI2015, 1 (June 2015), 9-14.

@article{
author = { Alagukumar. S, Lawrance. R },
title = { Algorithm for Microarray Cancer Data Analysis using Frequent Pattern Mining and Gene Intervals },
journal = { National Conference on Research Issues in Image Analysis and Mining Intelligence },
issue_date = { June 2015 },
volume = { NCRIIAMI2015 },
number = { 1 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 9-14 },
numpages = 6,
url = { /proceedings/ncriiami2015/number1/21017-4004/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Research Issues in Image Analysis and Mining Intelligence
%A Alagukumar. S
%A Lawrance. R
%T Algorithm for Microarray Cancer Data Analysis using Frequent Pattern Mining and Gene Intervals
%J National Conference on Research Issues in Image Analysis and Mining Intelligence
%@ 0975-8887
%V NCRIIAMI2015
%N 1
%P 9-14
%D 2015
%I International Journal of Computer Applications
Abstract

Microarray technology allows for the simultaneously monitor of expression levels for thousands of genes or entire genomes. Diseases are often controlled by groups of genes, rather than individual ones. Association rule mining technique in data mining plays a vital role in the field of bioinformatics. In this paper, it has been proposed a novel approach for analysis of microarray gene expression profiling data. It discovers frequent patterns, expressions profiles using transcript expression intervals and extract significant relations among microarray genes. It is important to get efficient and important patterns to reveal fatal and crucial reasons for diseases. It provides improving prediction for diseases and treatment decisions for cancer patients.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Gene Expression Analysis Frequent Pattern Mining Gene Expression Analysis Using Gene Intervals.