Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics

dc.contributor.author	Wojnar, David
dc.contributor.author	Kohlbacher, Oliver
dc.date.accessioned	2017-02-13T14:03:00Z
dc.date.available	2017-02-13T14:03:00Z
dc.date.issued	2016
dc.identifier.issn	1553-7358
dc.identifier.uri	http://hdl.handle.net/10900/74473
dc.language.iso	en	en
dc.publisher	Public Library Science	de_DE
dc.relation.uri	http://dx.doi.org/10.1371/journal.pcbi.1004920
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.ddc	570	de_DE
dc.subject.ddc	600	de_DE
dc.title	Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics	de_DE
dc.type	Article	de_DE
utue.quellen.id	20160915142648_00788
utue.personen.roh	Breckels, Lisa M.
utue.personen.roh	Holden, Sean B.
utue.personen.roh	Wojnar, David
utue.personen.roh	Mulvey, Claire M.
utue.personen.roh	Christoforou, Andy
utue.personen.roh	Groen, Arnoud
utue.personen.roh	Trotter, Matthew W. B.
utue.personen.roh	Kohlbacher, Oliver
utue.personen.roh	Lilley, Kathryn S.
utue.personen.roh	Gatto, Laurent
dcterms.isPartOf.ZSTitelID	Plos Computational Biology	de_DE
dcterms.isPartOf.ZS-Issue	Article e1004920	de_DE
dcterms.isPartOf.ZS-Volume	12	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät
utue.fakultaet	Sonstige