Meta-learning approach to gene expression data classification

International Journal of Intelligent Computing and Cybernetics

Volumn 2, Issue 2, 2009, Pages 285-303

  de Souza, Bruno Feres ^a   Soares, Carlos ^b   de Carvalho, André C P L F ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

Classification; Genes

Indexed keywords

BASELINE METHODS; CLASSIFICATION; CLASSIFICATION TASKS; COST-EFFECTIVE APPROACH; CURRENT PRACTICES; DATA DRIVEN; DESIGN/METHODOLOGY/APPROACH; EMPIRICAL EVIDENCE; GENE EXPRESSION DATA; GENE EXPRESSION DATA ANALYSIS; K-NEAREST NEIGHBORS; MACHINE LEARNING ALGORITHMS; META-LEARNING APPROACH; METALEARNING; MICROARRAY DATA SETS; PREFERENCE ORDER; RANKING METHODS; SELECT ALGORITHMS; STANDARD PROCEDURES;

BIOACTIVITY; CLASSIFICATION (OF INFORMATION); DATA REDUCTION; EDUCATION; GENE EXPRESSION; LEARNING SYSTEMS;

LEARNING ALGORITHMS;

EID: 78549232010     PISSN: 1756378X     EISSN: 17563798     Source Type: Journal    
DOI: 10.1108/17563780910959901     Document Type: Article

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