DSpace at EWHA: High-throughput data dimension reduction via seeded canonical correlation analysis

View : 826 Download: 0

Full metadata record

DC Field	Value	Language
dc.contributor.author	유재근	*
dc.date.accessioned	2016-08-29T12:08:46Z	-
dc.date.available	2016-08-29T12:08:46Z	-
dc.date.issued	2014	*
dc.identifier.issn	0886-9383	*
dc.identifier.other	OAK-14495	*
dc.identifier.uri	https://dspace.ewha.ac.kr/handle/2015.oak/230384	-
dc.description.abstract	Canonical correlation analysis; Large p small n; Multivariate analysis; Seeded dimension reduction	*
dc.language	English	*
dc.publisher	John Wiley and Sons Ltd	*
dc.title	High-throughput data dimension reduction via seeded canonical correlation analysis	*
dc.type	Article in Press	*
dc.relation.index	SCI	*
dc.relation.index	SCIE	*
dc.relation.index	SCOPUS	*
dc.relation.journaltitle	Journal of Chemometrics	*
dc.identifier.doi	10.1002/cem.2691	*
dc.identifier.wosid	WOS:000351534900006	*
dc.identifier.scopusid	2-s2.0-84919469207	*
dc.author.google	Im Y.	*
dc.author.google	Gang H.	*
dc.author.google	Yoo J.K.	*
dc.contributor.scopusid	유재근(23032759600)	*
dc.date.modifydate	20240130113500	*