Predicting functional effects of ion channel variants using new phenotypic machine learning methods

dc.contributor.author	Pfeifer, Nico
dc.contributor.author	Lerche, Holger
dc.contributor.author	Hedrich, Ulrike B. S.
dc.contributor.author	Boßelmann, Christian Malte
dc.date.accessioned	2023-11-30T08:20:39Z
dc.date.available	2023-11-30T08:20:39Z
dc.date.issued	2023-03-06
dc.identifier.uri	http://hdl.handle.net/10900/148242
dc.language.iso	en	de_DE
dc.publisher	PLOS	de_DE
dc.relation.uri	https://doi.org/10.1371/journal.pcbi.1010959	de_DE
dc.subject.ddc	004	de_DE
dc.title	Predicting functional effects of ion channel variants using new phenotypic machine learning methods	de_DE
dc.type	Article	de_DE
utue.personen.roh	Pfeifer, Nico
utue.personen.roh	Lerche, Holger
utue.personen.roh	Hedrich, Ulrike B. S.
utue.personen.roh	Boßelmann, Christian Malte
dcterms.isPartOf.ZSTitelID	PLoS Computational Biology	de_DE