Forward selection method with regression analysis for optimal gene selection in cancer classification

DOI10.1080/00207160701294384zbMath1116.62126OpenAlexW2002080206MaRDI QIDQ5294693

Han-Saem Park, Si-Ho Yoo, Sung-Bae Cho

Publication date: 25 July 2007

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160701294384

zbMATH Keywords

feature selectiongene expression profilespartial correlationcancer classification

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Cites Work

• Unnamed Item
• Gene selection from microarray data for cancer classification -- a machine learning approach
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• 10.1162/153244303322753616
• Learning Theory and Kernel Machines
• Gene selection for cancer classification using support vector machines

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