Interpreting tree ensemble machine learning models with endoR

dc.contributor.author	Ruaud, Albane
dc.contributor.author	Ley, Ruth E.
dc.contributor.author	Youngblut, Nicholas D.
dc.date.accessioned	2023-11-24T11:22:51Z
dc.date.available	2023-11-24T11:22:51Z
dc.date.issued	2022
dc.identifier.issn	1553-734X
dc.identifier.uri	http://hdl.handle.net/10900/148068
dc.language.iso	en	de_DE
dc.publisher	San Francisco : Public Library Science	de_DE
dc.relation.uri	http://dx.doi.org/10.1371/journal.pcbi.1010714	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	600	de_DE
dc.title	Interpreting tree ensemble machine learning models with endoR	de_DE
dc.type	Article	de_DE
utue.quellen.id	20230925000000_00419
utue.personen.roh	Ruaud, Albane
utue.personen.roh	Pfister, Niklas
utue.personen.roh	Ley, Ruth E.
utue.personen.roh	Youngblut, Nicholas D.
dcterms.isPartOf.ZSTitelID	Plos Computational Biology	de_DE
dcterms.isPartOf.ZS-Issue	12	de_DE
dcterms.isPartOf.ZS-Volume	18	de_DE
utue.fakultaet	08 Zentrale, interfakultäre und fakultätsübergreifende Einrichtungen	de_DE