Modified binary inertial particle swarm optimization for gene selection in DNA microarray data

Carlos Garibay, Gildardo Sanchez-Ante, Luis E. Falcon-Morales, Humberto Sossa

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2 Citas (Scopus)

Resumen

DNA microarrays are being used to characterize the genetic expression of several illnesses, such as cancer. There has been interest in developing automated methods to classify the data generated by those microarrays. The problem is complex due to the availability of just a few samples to train the classifiers, and the fact that each sample may contain several thousands of features. One possibility is to select a reduced set of features (genes). In this work we propose a wrapper method that is a modified version of the Inertial Geometric Particle Swarm Optimization. We name it MIGPSO.We compare MIGPSO with other approaches. The results are promising. MIGPSO obtained an increase in accuracy of about 4%. The number of genes selected is also competitive.

Idioma originalInglés
Título de la publicación alojadaPattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings
EditoresJosé Arturo Olvera López, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Fazel Famili, Juan Humberto Sossa-Azuela
EditorialSpringer Verlag
Páginas271-281
Número de páginas11
ISBN (versión digital)9783319192635
DOI
EstadoPublicada - 2015
Evento7th Mexican Conference on Pattern Recognition, MCPR 2015 - Mexico City, México
Duración: 24 jun. 201527 jun. 2015

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen9116
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia7th Mexican Conference on Pattern Recognition, MCPR 2015
País/TerritorioMéxico
CiudadMexico City
Período24/06/1527/06/15

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