Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7220
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dc.contributor.authorTaşçı, Aslı-
dc.contributor.authorİnce, Türker-
dc.contributor.authorGüzeliş, Cüneyt-
dc.date.accessioned2019-08-20T08:42:05Z
dc.date.available2019-08-20T08:42:05Z
dc.date.issued2018en_US
dc.identifier.citationTaşçı, A., İnce, T., and Güzeliş, C. (2017). A comparison of feature selection algorithms for cancer classification through gene expression data: Leukemia case. Paper presented at the 10th International Conference on Electrical and Electronics Engineering, ELECO 2017, Bursa, 2 December (pp.1352-1354).en_US
dc.identifier.urihttps://hdl.handle.net/11147/7220
dc.description10th International Conference on Electrical and Electronics Engineering, ELECO 2017; Bursa; Turkey; 29 November 2017 through 2 December 2017en_US
dc.description.abstractIn this study, three different feature selection algorithms are compared using Support Vector Machines as classifier for cancer classification through gene expression data. The ability of feature selection algorithms to select an optimal gene subset for a cancer type is evaluated by the classification ability of selected genes. A publicly available micro array dataset is employed for gene expression values. Selected gene subsets were able to classify subtypes of the considered cancer type with high accuracies and showed that these feature selection methods were applicable for bio-marker gene selection.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof10th International Conference on Electrical and Electronics Engineering, ELECO 2017en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCancer classificationen_US
dc.subjectGene expressionen_US
dc.subjectDiseasesen_US
dc.subjectFeature extractionen_US
dc.titleA comparison of feature selection algorithms for cancer classification through gene expression data: Leukemia caseen_US
dc.typeConference Objecten_US
dc.institutionauthorTaşçı, Aslı-
dc.departmentIzmir Institute of Technology. Electronics and Communication Engineeringen_US
dc.identifier.startpage1352en_US
dc.identifier.endpage1354en_US
dc.identifier.wosWOS:000426978800242en_US
dc.identifier.scopus2-s2.0-85046295885en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Object-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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