Neuro-logistic models based on evolutionary generalized radial basis function for the microarray gene expression classification problem

Neural Processing Letters

Volumn 34, Issue 2, 2011, Pages 117-131

  Castano A ^a   Fernandez Navarro F ^b   Hervas Martinez C ^b   Gutierrez, P A ^b  

^a UNIVERSIDAD DE PINAR DEL RÍO   (Cuba)

^b UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

Classification; Evolutionary algorithm; Generalized radial basis function; Logistic regression; Microarray gene expression; Neural networks

Indexed keywords

CLASSIFICATION MODELS; DATA SETS; FILTER ALGORITHM; GENE EXPRESSION DETECTION; HIGH-DIMENSIONAL; INPUT VARIABLES; LOGISTIC REGRESSIONS; MICROARRAY CLASSIFICATION; MICROARRAY DATASET; MICROARRAY GENE EXPRESSION; NON-PARAMETRIC STATISTICAL TESTS; RADIAL BASIS FUNCTIONS; REFLECTION ANALYSIS; TWO-STAGE ALGORITHM;

BIOINFORMATICS; CLASSIFICATION (OF INFORMATION); DATA REDUCTION; EVOLUTIONARY ALGORITHMS; LIGHT REFLECTION; MICROARRAYS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; STATISTICAL TESTS;

GENE EXPRESSION;

EID: 80053574083     PISSN: 13704621     EISSN: 1573773X     Source Type: Journal    
DOI: 10.1007/s11063-011-9187-8     Document Type: Article

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