Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples

dc.contributor.author	Pfeifer, Nico
dc.date.accessioned	2018-11-08T15:33:37Z
dc.date.available	2018-11-08T15:33:37Z
dc.date.issued	2017-07-08
dc.identifier.issn	1613-4516
dc.identifier.uri	http://hdl.handle.net/10900/84724
dc.language.iso	en	de_DE
dc.publisher	de Gruyter	de_DE
dc.relation.uri	https://doi.org/10.1515/jib-2017-0019	de_DE
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	Cancer subtyping	de_DE
dc.subject	Dimensionality reduction	de_DE
dc.subject	Integrative kernel principal component analysis	de_DE
dc.subject	Multiple kernel learning	de_DE
dc.subject	Patient clustering	de_DE
dc.subject.ddc	004	de_DE
dc.subject.ddc	610	de_DE
dc.title	Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples	de_DE
dc.type	Article	de_DE
utue.personen.roh	Speicher, Nora K.
utue.personen.roh	Pfeifer, Nico	de_DE
dcterms.isPartOf.ZSTitelID	Journal of Integrative Bioinformatics	de_DE
dcterms.isPartOf.ZS-Issue	2	de_DE
dcterms.isPartOf.ZS-Volume	14	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE