Data mining methods for gene selection on the basis of gene expression arrays
type: Item
instance of: scholarly article
title: Data mining methods for gene selection on the basis of gene expression arrays
zbMATH Open document ID: 1322.92036
author: Michał Muszyński
author: Stanisław Osowski
published in: International Journal of Applied Mathematics and Computer Science
publication date: 2015-10-16T00:00:00Z
Mathematics Subject Classification ID: 92D10
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6495462
zbMATH Keywords: gene expression array
zbMATH Keywords: gene ranking
zbMATH Keywords: feature selection
zbMATH Keywords: clusterization measures
zbMATH Keywords: fusion
zbMATH Keywords: SVM classification
describes a project that uses: LIBSVM
describes a project that uses: Matlab
MaRDI profile type: Publication
full work available at URL: amcs-2014-0048
OpenAlex ID: W2046559923
cites work: Q3093324
cites work: 10.1162/153244303322753616
cites work: Gene selection for cancer classification using support vector machines
cites work: Q4936225
cites work: Center-based l1–clustering method
cites work: Q4413262
cites work: Rough sets methods in feature reduction and classification
DOI: 10.2478/AMCS-2014-0048
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description: scientific article; zbMATH DE number 6495462