dc.contributor.author | Tasci, A. | |
dc.contributor.author | Ince, T. | |
dc.contributor.author | Guzelis, C. | |
dc.date.accessioned | 2021-01-25T20:48:38Z | |
dc.date.available | 2021-01-25T20:48:38Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046295885&partnerID=40&md5=4cb69bde42719a0b42513e28bd5c6aaa | |
dc.identifier.uri | https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9999 | |
dc.description.abstract | In 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 | |
dc.language.iso | English | |
dc.publisher | 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017 | |
dc.title | A comparison of feature selection algorithms for cancer classification through gene expression data: Leukemia case | |
dc.type | Conference Paper | |
dc.relation.firstpage | 1352 | |
dc.relation.lastpage | 1354 | |
dc.relation.volume | 2018-January | |
dc.description.affiliations | Department of Electrical and Electronics Engineering, Izmir Institute of Technology, Turkey; Department of Electrical and Electronics Engineering, Izmir University of Economics, Turkey; Department of Electrical and Electronics Engineering, Yaşar Universit | |