Gene expression profile class prediction using linear Bayesian classifiers

dc.contributor.author	Asyali, M.H.
dc.date.accessioned	2021-01-25T19:36:52Z
dc.date.available	2021-01-25T19:36:52Z
dc.date.issued	2007
dc.identifier	10.1016/j.compbiomed.2007.04.001
dc.identifier.issn	0010-4825
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/8384
dc.description.abstract	Due to recent advances in DNA microarray technology, using gene expression profiles, diagnostic category of tissue samples can be predicted with high accuracy. In this study, we discuss shortcomings of some existing gene expression profile classification
dc.language.iso	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.title	Gene expression profile class prediction using linear Bayesian classifiers
dc.type	Article
dc.relation.firstpage	1690
dc.relation.lastpage	1699
dc.relation.volume	37
dc.relation.issue	12
dc.description.woscategory	Biology; Computer Science, Interdisciplinary Applications; Engineering, Biomedical; Mathematical & Computational Biology
dc.description.wosresearcharea	Life Sciences & Biomedicine - Other Topics; Computer Science; Engineering; Mathematical & Computational Biology
dc.identifier.wosid	WOS:000251476100002

Files in this item

Files	Size	Format	View
There are no files associated with this item.