Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset

Computers and Operations Research

Volumn 37, Issue 8, 2010, Pages 1395-1405

  Archetti, Francesco ^a,b   Giordani, Ilaria ^a   Vanneschi, Leonardo ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b Consorzio Milano Ricerche ^*  (Italy)

Author keywords

Anticancer therapy; Genetic programming; Machine learning; Microarray data; NCI 60; Regression

Indexed keywords

ANTI-CANCER THERAPIES; ANTICANCER THERAPY; CYTARABINE; DATA SETS; DRUG DEVELOPMENT; DRUG RESISTANCE; FLUDARABINE; FLUOROURACIL; LEAST SQUARE REGRESSION; MACHINE LEARNING METHODS; MACHINE-LEARNING; MICROARRAY DATA; MICROARRAY DATASET; RESPONSE PREDICTION;

DATA REDUCTION; GENE EXPRESSION; LEARNING SYSTEMS; REGRESSION ANALYSIS;

GENETIC PROGRAMMING;

EID: 73449093194     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cor.2009.02.015     Document Type: Article

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