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Authors: Mónica Miguélez 1 ; Juan Luis Pérez 2 ; Juan R. Rabuñal 1 and Julián Dorado 1

Affiliations: 1 University of Coruña, Spain ; 2 University of Coruña, Spain

Keyword(s): Microarrays, Support Vector Machine (SVM), Genetic Algorithms (GA).

Related Ontology Subjects/Areas/Topics: Applications ; Business Analytics ; Communication and Software Technologies and Architectures ; Data Engineering ; Data Management and Quality ; Data Warehouses and Data Mining ; e-Business ; Enterprise Information Systems ; Information Quality ; Information Retrieval ; Ontologies and the Semantic Web ; Pattern Recognition ; Software Engineering

Abstract: This paper proposes a Genetic Algorithm (GA) combined with Support Vector Machine (SVM) for selecting and classifying data from DNA microarrays, with the aim of differentiate healthy from cancerous tissue samples. The proposed GA, by using a SVM fitness function, enables the selection of a group of genes that represent the absence or the presence of cancerous tissue. The proposed method is tested with a group data related to a widely known cancer disease, the breast cancer. The comparison shows that the results obtained with these combined techniques are better than other techniques.

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Paper citation in several formats:
Miguélez, M.; Luis Pérez, J.; R. Rabuñal, J. and Dorado, J. (2008). HYBRID SYSTEM FOR DATA CLASSIFICATION OF DNA MICROARRAYS WITH GA AND SVM. In Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT; ISBN 978-989-8111-53-1; ISSN 2184-2833, SciTePress, pages 304-307. DOI: 10.5220/0001890803040307

@conference{icsoft08,
author={Mónica Miguélez. and Juan {Luis Pérez}. and Juan {R. Rabuñal}. and Julián Dorado.},
title={HYBRID SYSTEM FOR DATA CLASSIFICATION OF DNA MICROARRAYS WITH GA AND SVM},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT},
year={2008},
pages={304-307},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001890803040307},
isbn={978-989-8111-53-1},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT
TI - HYBRID SYSTEM FOR DATA CLASSIFICATION OF DNA MICROARRAYS WITH GA AND SVM
SN - 978-989-8111-53-1
IS - 2184-2833
AU - Miguélez, M.
AU - Luis Pérez, J.
AU - R. Rabuñal, J.
AU - Dorado, J.
PY - 2008
SP - 304
EP - 307
DO - 10.5220/0001890803040307
PB - SciTePress

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