Title :

Hybridization of genetic and quantum algorithm for gene selection and classification of microarray data

Author(s) :

Allani, Abderrahim [Auteur]
Institut Supérieur de Gestion de Tunis [Tunis] [ISG]
Talbi, El-Ghazali [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Mellouli, Khaled [Auteur]
Institut des hautes études commerciales (Carthage, Tunisie) [IHEC]

Journal title :

International Journal of Foundations of Computer Science

Pages :

431-444

Publisher :

World Scientific Publishing

Publication date :

2012

ISSN :

0129-0541

HAL domain(s) :

Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
Computer Science [cs]/Operations Research [math.OC]

English abstract : [en]

In this work, we hybridize the Genetic Quantum Algorithm with the Support Vector Machines classifier for gene selection and classification of high dimensional Microarray Data. We named our algorithm GQASVM. Its purpose is ...
Show more >In this work, we hybridize the Genetic Quantum Algorithm with the Support Vector Machines classifier for gene selection and classification of high dimensional Microarray Data. We named our algorithm GQASVM. Its purpose is to identify a small subset of genes that could be used to separate two classes of samples with high accuracy. A comparison of the approach with different methods of literature, in particular GASVM and PSOSVM [2], was realized on six different datasets issued of microarray experiments dealing with cancer (leukemia, breast, colon, ovarian, prostate, and lung) and available on Web. The experiments clearified the very good performances of the method. The first contribution shows that the algorithm GQASVM is able to find genes of interest and improve the classification on a meaningful way. The second important contribution consists in the actual discovery of new and challenging results on datasets used.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL