Titre :

Feature selection in high dimensional regression problems for genomic

Auteur(s) :

Hamon, Julie [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Dhaenens, Clarisse [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Even, Gaël [Auteur]
Gènes Diffusion [Douai]
Jacques, Julien [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
MOdel for Data Analysis and Learning [MODAL]

Titre de la manifestation scientifique :

Tenth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics

Ville :

Nice

Pays :

France

Date de début de la manifestation scientifique :

2013-06-20

Date de publication :

2013-06-20

Discipline(s) HAL :

Computer Science [cs]/Operations Research [math.OC]
Statistiques [stat]/Méthodologie [stat.ME]
Informatique [cs]/Bio-informatique [q-bio.QM]
Sciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]

Résumé en anglais : [en]

In the context of genomic selection in animal breeding, an important objective consists in looking for explicative markers for a phe- notype under study. In order to deal with a high number of markers, we propose to use ...
Lire la suite >In the context of genomic selection in animal breeding, an important objective consists in looking for explicative markers for a phe- notype under study. In order to deal with a high number of markers, we propose to use combinatorial optimization to perform variable selection. Results show that our approach outperforms some classical and widely used methods on simulated and "closed to real" datasets.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Laboratoire Paul Painlevé - UMR 8524

Source :

Harvested from HAL