A review of feature selection techniques via gene expression profiles

Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/394950

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DC Field	Value	Language
dc.contributor.author	Farzana Kabir Ahmad	-
dc.contributor.author	Norita Md. Norwawi	-
dc.contributor.author	Safaai Deris	-
dc.date.accessioned	2023-06-15T07:52:40Z	-
dc.date.available	2023-06-15T07:52:40Z	-
dc.identifier.other	ukmvital:122446	-
dc.identifier.uri	https://ptsldigital.ukm.my/jspui/handle/123456789/394950	-
dc.description.abstract	The invention of DNA microarray technology has modernized the approach of biology research in such a way that scientists can now measure the expression levels of thousands of genes simultaneously in a single experiment. Although this technology has shifted a new era in molecular classification, interpreting microarray data still remain a challenging issue due to their innate nature of high dimensional low sample size".	-
dc.language.iso	eng	-
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE),Piscataway, US	-
dc.subject	Selection techniques	-
dc.subject	Gene expression	-
dc.title	A review of feature selection techniques via gene expression profiles	-
dc.type	Seminar Papers	-
dc.identifier.callno	T58.5.C634 2008 kat sem j.2	-
dc.contributor.conferencename	International Symposium on Information Technology	-
dc.coverage.conferencelocation	Kuala Lumpur Convention Centre	-
dc.date.conferencedate	26/08/2008	-
Appears in Collections:	Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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