Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information

dc.contributor.author	Visona, Giovanni
dc.date.accessioned	2024-02-26T09:10:43Z
dc.date.available	2024-02-26T09:10:43Z
dc.date.issued	2023
dc.identifier.issn	1367-4803
dc.identifier.uri	http://hdl.handle.net/10900/151296
dc.language.iso	en	de_DE
dc.publisher	Oxford : Oxford Univ Press	de_DE
dc.relation.uri	http://dx.doi.org/10.1093/bioinformatics/btad717	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	Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information	de_DE
dc.type	Article	de_DE
utue.quellen.id	20240124000000_00293
utue.personen.roh	Visona, Giovanni
utue.personen.roh	Duroux, Diane
utue.personen.roh	Miranda, Lucas
utue.personen.roh	Sukei, Emese
utue.personen.roh	Li, Yiran
utue.personen.roh	Borgwardt, Karsten
utue.personen.roh	Oliver, Carlos
dcterms.isPartOf.ZSTitelID	Bioinformatics	de_DE
dcterms.isPartOf.ZS-Issue	Article btad717	de_DE
dcterms.isPartOf.ZS-Volume	39 (12)	de_DE