dc.contributor.author |
Schwab, Matthias |
|
dc.contributor.author |
Mürdter, Thomas E. |
|
dc.date.accessioned |
2022-04-08T13:38:58Z |
|
dc.date.available |
2022-04-08T13:38:58Z |
|
dc.date.issued |
2021 |
|
dc.identifier.issn |
2072-6694 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/126206 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Mdpi |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.3390/cancers13102432 |
de_DE |
dc.subject.ddc |
610 |
de_DE |
dc.title |
Computational Treatment Simulations to Assess the Need for Personalized Tamoxifen Dosing in Breast Cancer Patients of Different Biogeographical Groups |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20210824232002_01371 |
|
utue.personen.roh |
Mueller-Schoell, Anna |
|
utue.personen.roh |
Michelet, Robin |
|
utue.personen.roh |
Klopp-Schulze, Lena |
|
utue.personen.roh |
van Dyk, Madele |
|
utue.personen.roh |
Muerdter, Thomas E. |
|
utue.personen.roh |
Schwab, Matthias |
|
utue.personen.roh |
Joerger, Markus |
|
utue.personen.roh |
Huisinga, Wilhelm |
|
utue.personen.roh |
Mikus, Gerd |
|
utue.personen.roh |
Kloft, Charlotte |
|
dcterms.isPartOf.ZSTitelID |
Cancers |
de_DE |
dcterms.isPartOf.ZS-Issue |
Article 2432 |
de_DE |
dcterms.isPartOf.ZS-Volume |
13 |
de_DE |
utue.fakultaet |
04 Medizinische Fakultät |
de_DE |
utue.fakultaet |
07 Mathematisch-Naturwissenschaftliche Fakultät |
de_DE |