dc.contributor.author |
Lauschke, Volker M. |
|
dc.date.accessioned |
2024-06-20T14:22:24Z |
|
dc.date.available |
2024-06-20T14:22:24Z |
|
dc.date.issued |
2024 |
|
dc.identifier.issn |
1860-6768 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/154362 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Weinheim : Wiley - V C H Verlag Gmbh |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1002/biot.202300684 |
|
dc.subject.ddc |
570 |
de_DE |
dc.title |
Proteomic workflows for deep phenotypic profiling of 3D organotypic liver models |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20240422000000_00360 |
|
utue.personen.roh |
Koutsilieri, Stefania |
|
utue.personen.roh |
Mickols, Evgeniya |
|
utue.personen.roh |
Vegvari, Akos |
|
utue.personen.roh |
Lauschke, Volker M. |
|
dcterms.isPartOf.ZSTitelID |
Biotechnology Journal |
de_DE |
dcterms.isPartOf.ZS-Issue |
3 |
de_DE |
dcterms.isPartOf.ZS-Volume |
19 |
de_DE |
utue.fakultaet |
Universität Tübingen (ohne Fakultätsangabe) |
|