DE-SVMRank: a differential evolution algorithm with a rank-based feature selection process for microarray data classification

DNA Microarrays are powerful tools to analyze and identify certain disease from the expression level of the genes in tissues samples. Many machine learning techniques are suitable for building predictive models to classify microarray samples into different biological categories. The accuracy of the...

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Detalles Bibliográficos
Autores principales: Apolloni, Javier, Leguizamón, Guillermo, Alba Torres, Enrique
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Feature Selection
Support VectorMachines
Binary Differential Evolution
Ranking of Features
Algorithms
Intelligent agents
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23609
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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