Inherently interpretable position-aware convolutional motif kernel networks for biological sequencing data

dc.contributor.author	Pfeifer, Nico
dc.contributor.author	Reuter, Bernhard
dc.contributor.author	Ditz, Jonas C.
dc.date.accessioned	2023-11-30T08:19:16Z
dc.date.available	2023-11-30T08:19:16Z
dc.date.issued	2023-10-11
dc.identifier.issn	2045-2322
dc.identifier.uri	http://hdl.handle.net/10900/148238
dc.language.iso	en	de_DE
dc.publisher	Springer Nature	de_DE
dc.relation.uri	https://doi.org/10.1038/s41598-023-44175-7	de_DE
dc.subject.ddc	004	de_DE
dc.title	Inherently interpretable position-aware convolutional motif kernel networks for biological sequencing data	de_DE
dc.type	Article	de_DE
utue.personen.roh	Pfeifer, Nico
utue.personen.roh	Reuter, Bernhard
utue.personen.roh	Ditz, Jonas C.
dcterms.isPartOf.ZSTitelID	Scientific Reports	de_DE
dcterms.isPartOf.ZS-Issue	17216	de_DE
dcterms.isPartOf.ZS-Volume	13	de_DE