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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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Author keywords
DNA Microarrays, Feature Selection, Genetic Algorithm, Suppot Vector Machines, Pancreatic Cancer
References keywords
microarray(4)
Blue keywords are present in both the references section and the paper title.
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
Abstract
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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[1] Speech Therapy Based on Expert System, ZAHARIA, M. H., LEON, F., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 9, 2009.
Digital Object Identifier: 10.4316/aece.2009.01014 [CrossRef] [Full text]
[2] Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords, Luque-Baena, R.M., Urda, D., Gonzalo Claros, M., Franco, L., Jerez, J.M., Journal of Biomedical Informatics, ISSN 1532-0464, Issue , 2014.
Digital Object Identifier: 10.1016/j.jbi.2014.01.006 [CrossRef]
[3] An incomplete dominance genetic algorithm approach to microarray data analysis, Melita, Nicolae Teodor, Holban, Stefan, 2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP), ISBN 978-1-5090-3899-2, 2016.
Digital Object Identifier: 10.1109/ICCP.2016.7737137 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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