Gene selection and prediction for cancer classification using support vector machines with a reject option

DOI10.1016/J.CSDA.2010.12.001zbMath1328.62586OpenAlexW1998212491MaRDI QIDQ901576

Sunghoon Kwon, Yongdai Kim, Hosik Choi, Donghwa Yeo

Publication date: 12 January 2016

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.12.001

zbMATH Keywords

classificationsupport vector machineslassoreject option

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Two-group classification with high-dimensional correlated data: a factor model approach ⋮ A three-population constrained discrimination procedure

Uses Software

• LASSO
• SparseLOGREG

Cites Work

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• Gene selection for cancer classification using support vector machines

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