Hochschulschrift
Gene-Environment Interaction and Extension to Empirical Hierarchical Bayes Models in Genome-Wide Association Studies
- Sprache
-
Englisch
- Umfang
-
Online-Ressource
- Anmerkungen
-
Göttingen, Georg-August Universität, Diss., 2014
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Schlagwort
-
Epidemiologie
Epidemie
- Urheber
-
Viktorova, Elena
- Beteiligte Personen und Organisationen
- Ereignis
-
Veröffentlichung
- (wo)
-
Göttingen
- (wer)
-
Niedersächsische Staats- und Universitätsbibliothek Göttingen
- (wann)
-
2014
- Handle
-
11858/00-1735-0000-0022-5F29-D
- URN
-
urn:nbn:de:gbv:7-11858/00-1735-0000-0022-5F29-D-8
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:43 MEZ
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.
Objekttyp
- Hochschulschrift
Beteiligte
- Viktorova, Elena
- Bickeböller, Heike
- Beissbarth, Tim
- Kube, Dieter
- Friede, Tim
- Niedersächsische Staats- und Universitätsbibliothek Göttingen
Entstanden
- 2014
Ähnliche Objekte (12)
The Empirical Hierarchical Bayes Approach for Pathway Integration and Gene-Environment Interactions in Genome-Wide Association Studies
Genome-wide analyses of stallion fertility
Hierarchical Bayes and frequentist aggregation in inverse problems
Hierarchical Bayes Statistical Analyses for a Calibration Experiment
Hierarchical Bayes statistical analyses for a calibration experiment
Genome-wide analysis of mutually exclusive splicing
Genome-wide response patterns in stressed hepatocytes
Genome-wide mapping of the inflammation methylome
Detecting signatures of convergent evolution genome-wide
Genome-wide Association Study and Meta-Analysis Identify ISL1 as Genome-wide Significant Susceptibility Gene for Bladder Exstrophy
Quantitative genome-wide association study of six phenotypic subdomains identifies novel genome-wide significant variants in autism spectrum disorder
Quantitative genome-wide association study of six phenotypic subdomains identifies novel genome-wide significant variants in autism spectrum disorder
The Empirical Hierarchical Bayes Approach for Pathway Integration and Gene-Environment Interactions in Genome-Wide Association Studies
Genome-wide analyses of stallion fertility
Hierarchical Bayes and frequentist aggregation in inverse problems
Hierarchical Bayes Statistical Analyses for a Calibration Experiment
Hierarchical Bayes statistical analyses for a calibration experiment
Genome-wide analysis of mutually exclusive splicing
Genome-wide response patterns in stressed hepatocytes
Genome-wide mapping of the inflammation methylome
Detecting signatures of convergent evolution genome-wide
Genome-wide Association Study and Meta-Analysis Identify ISL1 as Genome-wide Significant Susceptibility Gene for Bladder Exstrophy
Quantitative genome-wide association study of six phenotypic subdomains identifies novel genome-wide significant variants in autism spectrum disorder
Quantitative genome-wide association study of six phenotypic subdomains identifies novel genome-wide significant variants in autism spectrum disorder
The Empirical Hierarchical Bayes Approach for Pathway Integration and Gene-Environment Interactions in Genome-Wide Association Studies
Genome-wide analyses of stallion fertility
Hierarchical Bayes and frequentist aggregation in inverse problems
Hierarchical Bayes Statistical Analyses for a Calibration Experiment
Hierarchical Bayes statistical analyses for a calibration experiment
Genome-wide analysis of mutually exclusive splicing
Genome-wide response patterns in stressed hepatocytes
Genome-wide mapping of the inflammation methylome
Detecting signatures of convergent evolution genome-wide
Genome-wide Association Study and Meta-Analysis Identify ISL1 as Genome-wide Significant Susceptibility Gene for Bladder Exstrophy
Quantitative genome-wide association study of six phenotypic subdomains identifies novel genome-wide significant variants in autism spectrum disorder