COmic: convolutional kernel networks for interpretable end-to-end learning on (multi-)omics data

dc.contributor.author	Ditz, Jonas C.
dc.contributor.author	Reuter, Bernhard
dc.contributor.author	Pfeifer, Nico
dc.date.accessioned	2025-06-30T06:09:31Z
dc.date.available	2025-06-30T06:09:31Z
dc.date.issued	2023
dc.identifier.issn	1367-4803
dc.identifier.uri	http://hdl.handle.net/10900/167323
dc.language.iso	en	de_DE
dc.publisher	Oxford : Oxford Univ Press	de_DE
dc.relation.uri	http://dx.doi.org/10.1093/bioinformatics/btad204	de_DE
dc.subject.ddc	004	de_DE
dc.subject.ddc	510	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	600	de_DE
dc.title	COmic: convolutional kernel networks for interpretable end-to-end learning on (multi-)omics data	de_DE
dc.type	Article	de_DE
dc.type	ConferenceObject	de_DE
utue.quellen.id	20230928000000_00701
utue.publikation.seiten	i76-i85	de_DE
utue.personen.roh	Ditz, Jonas C.
utue.personen.roh	Reuter, Bernhard
utue.personen.roh	Pfeifer, Nico
dcterms.isPartOf.ZSTitelID	Bioinformatics	de_DE
dcterms.isPartOf.ZS-Issue	Suppl. 1	de_DE
dcterms.isPartOf.ZS-Volume	39	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE