Data mining methods for gene selection on the basis of gene expression arrays

DOI10.2478/AMCS-2014-0048zbMath1322.92036OpenAlexW2046559923MaRDI QIDQ747425

Michał Muszyński, Stanisław Osowski

Publication date: 16 October 2015

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

Full work available at URL: https://doi.org/10.2478/amcs-2014-0048

zbMATH Keywords

fusionfeature selectionclusterization measuresgene expression arraygene rankingSVM classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Medical applications (general) (92C50) Genetics and epigenetics (92D10)

Related Items (1)

A comprehensive survey on formal concept analysis, its research trends and applications

Uses Software

• LIBSVM
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Cites Work

• 10.1162/153244303322753616
• Center-based l1–clustering method
• Gene selection for cancer classification using support vector machines
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