Biopsy-derived oral keratinocytes – a model to potentially test for oral mucosa radiation sensitivity
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Clinical and translational radiation oncology. - 34 (2022) , 51-56, ISSN: 2405-6308
- Ereignis
-
Veröffentlichung
- (wo)
-
Freiburg
- (wer)
-
Universität
- (wann)
-
2022
- Urheber
-
Thomsen, Andreas
Aldrian, Christine
Luka, Benedikt
Hornhardt, Sabine
Gomolka, Maria Dorothee
Moertl, Simone
Heß, Julia
Zitzelsberger, Horst
Heider, Theresa
Schlüter, Nadine Kai
Rau, Sibylle J.
Monroy Ordoñez, Elsa Beatriz
Schäfer, Henning Sebastian
Rücker, Gerta
Henke, Michael
- DOI
-
10.1016/j.ctro.2022.03.007
- URN
-
urn:nbn:de:bsz:25-freidok-2260747
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:34 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Thomsen, Andreas
- Aldrian, Christine
- Luka, Benedikt
- Hornhardt, Sabine
- Gomolka, Maria Dorothee
- Moertl, Simone
- Heß, Julia
- Zitzelsberger, Horst
- Heider, Theresa
- Schlüter, Nadine Kai
- Rau, Sibylle J.
- Monroy Ordoñez, Elsa Beatriz
- Schäfer, Henning Sebastian
- Rücker, Gerta
- Henke, Michael
- Universität
Entstanden
- 2022
Ähnliche Objekte (12)
Small-study effects and heterogeneity in meta-analysis
Beyond the forest plot: the drapery plot
Ranking treatments in frequentist network meta-analysis works without resampling methods
Ranking treatments in frequentist network meta-analysis works without resampling methods
Presenting simulation results in a nested loop plot
Simpson's paradox visualized: the example of the Rosiglitazone meta-analysis
Network meta‐analysis of multicomponent interventions
Component network meta‐analysis compared to a matching method in a disconnected network: A case study
Simpson's paradox visualized: The example of the Rosiglitazone meta-analysis
SPRR1B+ keratinocytes prime oral mucosa for rapid wound healing via STAT3 activation
Comparative effectiveness of psychological treatments for depressive disorders in primary care: network meta-analysis
Network meta‐analysis of multicomponent interventions
Small-study effects and heterogeneity in meta-analysis
Beyond the forest plot: the drapery plot
Ranking treatments in frequentist network meta-analysis works without resampling methods
Ranking treatments in frequentist network meta-analysis works without resampling methods
Presenting simulation results in a nested loop plot
Simpson's paradox visualized: the example of the Rosiglitazone meta-analysis
Network meta‐analysis of multicomponent interventions
Component network meta‐analysis compared to a matching method in a disconnected network: A case study
Simpson's paradox visualized: The example of the Rosiglitazone meta-analysis
SPRR1B+ keratinocytes prime oral mucosa for rapid wound healing via STAT3 activation
Comparative effectiveness of psychological treatments for depressive disorders in primary care: network meta-analysis
Network meta‐analysis of multicomponent interventions
Small-study effects and heterogeneity in meta-analysis
Beyond the forest plot: the drapery plot
Ranking treatments in frequentist network meta-analysis works without resampling methods
Ranking treatments in frequentist network meta-analysis works without resampling methods
Presenting simulation results in a nested loop plot
Simpson's paradox visualized: the example of the Rosiglitazone meta-analysis
Network meta‐analysis of multicomponent interventions
Component network meta‐analysis compared to a matching method in a disconnected network: A case study
Simpson's paradox visualized: The example of the Rosiglitazone meta-analysis
SPRR1B+ keratinocytes prime oral mucosa for rapid wound healing via STAT3 activation
Comparative effectiveness of psychological treatments for depressive disorders in primary care: network meta-analysis