Title :

Feature selection in high dimensional regression problems for genomic

Author(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 [LPP]
MOdel for Data Analysis and Learning [MODAL]

Conference title :

Tenth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics

City :

Nice

Country :

France

Start date of the conference :

2013-06-20

Publication date :

2013-06-20

HAL domain(s) :

Informatique [cs]/Recherche opérationnelle [cs.RO]
Statistiques [stat]/Méthodologie [stat.ME]
Informatique [cs]/Bio-informatique [q-bio.QM]
Sciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]

English abstract : [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 ...
Show more >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.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