Modeling the Amplification of Immunoglobulins through Machine Learning on Sequence-Specific Features

dc.contributor.author	Pfeifer, Nico
dc.date.accessioned	2020-02-10T15:41:32Z
dc.date.available	2020-02-10T15:41:32Z
dc.date.issued	2019
dc.identifier.issn	2045-2322
dc.identifier.uri	http://hdl.handle.net/10900/97832
dc.language.iso	en	de_DE
dc.publisher	Nature Publishing Group	de_DE
dc.relation.uri	http://dx.doi.org/10.1038/s41598-019-47173-w	de_DE
dc.subject.ddc	004	de_DE
dc.subject.ddc	500	de_DE
dc.title	Modeling the Amplification of Immunoglobulins through Machine Learning on Sequence-Specific Features	de_DE
dc.type	Article	de_DE
utue.quellen.id	20190926111821_00515
utue.personen.roh	Doering, Matthias
utue.personen.roh	Kreer, Christoph
utue.personen.roh	Lehnen, Nathalie
utue.personen.roh	Klein, Florian
utue.personen.roh	Pfeifer, Nico
dcterms.isPartOf.ZSTitelID	Scientific Reports	de_DE
dcterms.isPartOf.ZS-Issue	Article 10748	de_DE
dcterms.isPartOf.ZS-Volume	9	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE