Feature selection in high dimensional ...
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès sans actes
URL permanente :
Titre :
Feature selection in high dimensional regression problems for genomic
Auteur(s) :
Hamon, Julie [Auteur]
Dhaenens, Clarisse [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Even, Gaël [Auteur]
Jacques, Julien [Auteur]
Dhaenens, Clarisse [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Even, Gaël [Auteur]
Jacques, Julien [Auteur]
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
Discipline(s) HAL :
Informatique [cs]/Recherche opérationnelle [cs.RO]
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 >
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
Audience :
Internationale
Vulgarisation :
Non
Date de dépôt :
2020-06-08T14:10:58Z
2020-06-09T09:11:20Z
2021-06-04T08:41:11Z
2020-06-09T09:11:20Z
2021-06-04T08:41:11Z
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