Exploration of DNA Microarrays Using Data Mining and a Taboo Search

Authors

  • Luis Alberto Hernández Montiel Universidad del Istmo Campus Ixtepec
  • José-Antonio León-Borges
  • Luis David Huerta Hernández

DOI:

https://doi.org/10.13053/cys-22-2-2528

Keywords:

DNA microarrays, normalization, data filtering, selection, classification, local search.

Abstract

In this article, we present a hybrid method based on data mining techniques and a taboo search applied in the selection and classification of DNA Microarray genes. The method is divided into two stages, in the first stage all non-relevant information in the database is eliminated using five data filtering techniques. With the subsets of genes obtained by this step, a new stage of gene selection is carried out using a taboo search, for the classification process of the selected genes, the SVM, LDA, KNN classifiers are used separately. The method has been implemented to obtain a small subset of high performance genes, the results obtained are compared with other methods reported in the literature, this method is applied in three databases of public domain.

Author Biography

Luis Alberto Hernández Montiel, Universidad del Istmo Campus Ixtepec

se recibe como Licenciado en informática en abril del 2011, y el grado de maestro en sistemas computacionales en noviembre del 2013, por el Instituto Tecnológico de Apizaco. Actualmente es profesor-investigador de la Licenciatura en Informática en la universidad del Istmo campus Ixtepec, Oaxaca, México. Sus áreas de interés son: Algoritmos Bioinspirados, Aprendizaje Máquina, Realidad Aumentada, Metaheurísticas, Optimización y Bioinformática.

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Published

2018-06-28

Issue

Vol. 22 No. 2 (2018): Thematic Issue on Numerical and Evolutionary Optimization (Guest editors: L. Trujillo, Y. Maldonado, O. Schuetze)

Section

Articles

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