A Comparison of Feature Selection Algorithms for Cancer Classification Through Gene Expression Data: Leukemia Case

dc.contributor.author	Tasci, A.
dc.contributor.author	Ince, T.
dc.contributor.author	Guzelis, C.
dc.date.accessioned	2021-01-25T19:33:28Z
dc.date.available	2021-01-25T19:33:28Z
dc.date.issued	2017
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7695
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	IEEE
dc.title	A Comparison of Feature Selection Algorithms for Cancer Classification Through Gene Expression Data: Leukemia Case
dc.type	Proceedings Paper
dc.relation.firstpage	1352
dc.relation.lastpage	1354
dc.description.woscategory	Engineering, Electrical & Electronic
dc.description.wosresearcharea	Engineering
dc.identifier.wosid	WOS:000426978800242
dc.identifier.ctitle	10th International Conference on Electrical and Electronics Engineering (ELECO)
dc.identifier.cdate	NOV 30-DEC 02, 2017

Bu öğenin dosyaları:

Dosyalar	Boyut	Biçim	Göster
Bu öğe ile ilişkili dosya yok.