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

DOI10.1016/j.cor.2009.02.015zbMath1183.68461OpenAlexW2051895207WikidataQ62680482 ScholiaQ62680482MaRDI QIDQ2379647

I. Giordani, Leonardo Vanneschi, Francesco Archetti

Publication date: 19 March 2010

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2009.02.015

zbMATH Keywords

regressiongenetic programmingmachine learningmicroarray dataanticancer therapyNCI-60

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Uses Software

• WEKA
• RankGene

Cites Work

• Extracting gene regulation information for cancer classification
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset