Titre :

Hybrid metaheuristic for multi-objective biclustering in microarray data

Auteur(s) :

Seridi, Khedidja [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Jourdan, Laetitia [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Talbi, El-Ghazali [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]

Titre de la manifestation scientifique :

CIBCB 2012 - IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology

Ville :

San Diego

Pays :

Etats-Unis d'Amérique

Date de début de la manifestation scientifique :

2012-05-09

Titre de l’ouvrage :

Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2012 IEEE Symposium on

Éditeur :

IEEE

Date de publication :

2012-06

Discipline(s) HAL :

Sciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]

Résumé en anglais : [en]

Biclustering is a well-known data mining problem in the field of gene expression data. It consists in extracting genes that behave similarly under some experimental conditions. As the Biclustering problem is NP-Complete ...
Lire la suite >Biclustering is a well-known data mining problem in the field of gene expression data. It consists in extracting genes that behave similarly under some experimental conditions. As the Biclustering problem is NP-Complete in most of its variants, many heuristics and metaheuristics are defined to solve for it. Classical algorithms allow the extraction of some biclusters in reasonable time, however most of them remain time consuming. In this work, we propose a new hybrid multi-objective meta-heuristic H-MOBI based on NSGA-II (Non-dominated Sorting Genetic Algorithm II), CC (Cheng and Church) heuristic and a multi-objective local search PLS-1 (Pareto Local Search 1). Experimental results on real data sets show that our approach can find significant biclusters of high quality.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

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

Source :

Harvested from HAL