EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways

dc.contributor.author	Morales-Navarrete, Hernan
dc.contributor.author	Toulany, Nikan
dc.contributor.author	Bihler, Johanna
dc.contributor.author	Hagauer, Julia
dc.contributor.author	Kick, Sebastian
dc.contributor.author	Jones, Felicity
dc.contributor.author	Čapek, Daniel
dc.contributor.author	Müller, Patrick
dc.date.accessioned	2023-07-14T11:42:53Z
dc.date.available	2023-07-14T11:42:53Z
dc.date.issued	2023
dc.identifier.issn	1548-7091
dc.identifier.uri	http://hdl.handle.net/10900/143465
dc.language.iso	en	de_DE
dc.publisher	Nature Portfolio	de_DE
dc.relation.uri	http://dx.doi.org/10.1038/s41592-023-01873-4	de_DE
dc.subject.ddc	570	de_DE
dc.title	EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways	de_DE
dc.type	Article	de_DE
utue.quellen.id	20230619000000_00182
utue.publikation.seiten	815	de_DE
utue.personen.roh	Capek, Daniel
utue.personen.roh	Safroshkin, Matvey
utue.personen.roh	Morales-Navarrete, Hernan
utue.personen.roh	Toulany, Nikan
utue.personen.roh	Arutyunov, Grigory
utue.personen.roh	Kurzbach, Anica
utue.personen.roh	Bihler, Johanna
utue.personen.roh	Hagauer, Julia
utue.personen.roh	Kick, Sebastian
utue.personen.roh	Jones, Felicity
utue.personen.roh	Jordan, Ben
utue.personen.roh	Mueller, Patrick
dcterms.isPartOf.ZSTitelID	Nature Methods	de_DE
dcterms.isPartOf.ZS-Issue	6	de_DE
dcterms.isPartOf.ZS-Volume	20	de_DE
utue.fakultaet	08 Zentrale, interfakultäre und fakultätsübergreifende Einrichtungen	de_DE