A centroid-based gene selection method for microarray data classification

DOI10.1016/j.jtbi.2016.03.034zbMath1343.92012OpenAlexW2335170513WikidataQ31071564 ScholiaQ31071564MaRDI QIDQ738623

Donghui Guo, Qingshan Jiang, Shun Guo, Li-Fei Chen

Publication date: 5 September 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2016.03.034

zbMATH Keywords

classificationmicroarray datagene selectionclass centroidL1 regularization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Genetics and epigenetics (92D10)

Related Items (2)

Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine ⋮ A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification

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