An Analytical Method for Multiclass Molecular Cancer Classification

DOI10.1137/S0036144502411986zbMath1030.92017MaRDI QIDQ4442844

Ryan Rifkin, Sayan Mukherjee, Jill P. Mesirov, Chen-Hsiang Yeang, Michael Reich, Todd Golub, Sridhar Ramaswamy, Michael Angelo, Tomaso Poggio, Eric S. Lander, Pablo Tamayo

Publication date: 20 January 2004

Published in: SIAM Review (Search for Journal in Brave)

zbMATH Keywords

pattern recognitioncancercomputational biologysupport vector machinemolecular classificationmulticlass classificationtumor

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

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Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates ⋮ High-dimensional Canonical Forest ⋮ Classification of multi class dataset using wavelet power spectrum ⋮ Reducing multiclass cancer classification to binary by output coding and SVM ⋮ Multidimensional partitioning and bi-partitioning: analysis and application to gene expression data sets

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