SVM-Based Local Search for Gene Selection and Classification of Microarray Data
| Titre | SVM-Based Local Search for Gene Selection and Classification of Microarray Data |
| Type de publication | Communication |
| Type | Communication avec actes dans un congrès |
| Année | 2008 |
| Langue | Anglais |
| Date du colloque | 2008 |
| Titre du colloque | Second International Conference, BIRD 2008 |
| Titre des actes ou de la revue | Bioinformatics Research and Development |
| Volume | 13 |
| Pagination | 499 - 508 |
| Auteur | Hernandez, Jose Crispin He, Duval, Béatrice , Hao, Jin-Kao |
| Pays | Autriche |
| Editeur | Springer |
| Ville | Vienne |
| ISBN | 978-3-540-70598-7 / 978-3-540-70600-7 |
| Mots-clés | bioinformatics, Computational Biology/Bioinformatics, Feature selection, Local search, Microarray gene expression, Support vector machines |
| Résumé en anglais | This paper presents a SVM-based local search (SVM-LS) approach to the problem of gene selection and classification of microarray data. The proposed approach is highlighted by the use of a SVM classifier both as an essential part of the evaluation function and as a “provider” of useful information for designing effective LS algorithms. The SVM-LS approach is assessed on a set of three well-known data sets and compared with some best algorithms from the literature. |
| Notes | Date du colloque : 07/2008 |
| URL de la notice | http://okina.univ-angers.fr/publications/ua4463 |
| DOI | 10.1007/978-3-540-70600-7_39 |
| Lien vers le document en ligne | http://link.springer.com/chapter/10.1007/978-3-540-70600-7_39 |