Two hybrid wrapper-filter feature selection algorithms applied to high-dimensional microarray experiments

Javier Apolloni; Guillermo Leguizamón; Enrique Alba

doi:10.1016/j.asoc.2015.10.037

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Two hybrid wrapper-filter feature selection algorithms applied to high-dimensional microarray experiments

Javier Apolloni Guillermo Leguizamón Enrique Alba

Year: 2015 Journal: Applied Soft Computing Vol: 38 Pages: 922-932 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2015.10.037

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Keywords:

Robustness (evolution) Feature selection Algorithm Computer science Support vector machine Filter (signal processing) Population Evolutionary algorithm Binary number Fitness function Artificial intelligence Machine learning Genetic algorithm Mathematics

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Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Two hybrid wrapper-filter feature selection algorithms applied to high-dimensional microarray experiments

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