Meta‐learning approach to gene expression data classification

DOI10.1108/17563780910959901zbMath1191.68548OpenAlexW1987458475WikidataQ57739843 ScholiaQ57739843MaRDI QIDQ3639489

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Publication date: 30 October 2009

Published in: International Journal of Intelligent Computing and Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/17563780910959901

zbMATH Keywords

classificationgenes

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Cites Work

• An extensive comparison of recent classification tools applied to microarray data
• Penalized discriminant analysis
• Improvements on Cross-Validation: The .632+ Bootstrap Method
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Random forests

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