Using a genetic algorithm and a perceptron for feature selection and supervised class learning in DNA microarray data

Artificial Intelligence Review

Volumn 20, Issue 1-2, 2003, Pages 39-51

  Karzynski, Michal ^a   Mateos, Álvaro ^a   Herrero, Javier ^a   Dopazo, Joaquín ^a  

^a Centro Nacional de Investigaciones Oncológicas   (Spain)

Author keywords

Clustering; Dimensionality reduction; Feature selection; Gene expression; Genetic algorithm; Perceptron; SOTA; Weights

Indexed keywords

COMPUTER SIMULATION; DATA COMPRESSION; DNA SEQUENCES; GENES; GENETIC ALGORITHMS; NEURAL NETWORKS;

CLASS PREDICTION; CLUSTERING; DIMENSIONALITY REDUCTION; DNA MICROARRAY; FEATURE SELECTION; GENE EXPRESSION; SELF ORGANIZING TREE ALGORITHM; SUPERVISED CLASS LEARNING;

LEARNING SYSTEMS;

EID: 0242653758     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1026032530166     Document Type: Article

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