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A Genetic Algorithm Approach to DNA Microarrays Analysis of Pancreatic CancerMELITA, N. T. , POPESCU, I. , HOLBAN, S.
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DNA Microarrays, Feature Selection, Genetic Algorithm, Suppot Vector Machines, Pancreatic Cancer
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About this article
Date of Publication: 2008-06-02
Volume 8, Issue 2, Year 2008, On page(s): 43 - 48
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2008.02008
Web of Science Accession Number: 000264815000008
SCOPUS ID: 67749089529
We address the problem of collecting and analyzing vast amount of information in medicine and biology, in the light of the revolutionary technological evolution during the last decades. Currently, the methods of achieving information challenge our capacity to sort and process that data. However, we use the methods of machine learning to sort and analyze this information. In this comprehensive review we describe an experiment of analyzing DNA microarrays using a Genetic Algorithm for feature selection. We study how we can establish a causal relationship between a pattern of genic expression and the evolution of pancreatic cancer using a Genetic Algorithm.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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