Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets ; volume:12 ; number:1 ; day:6 ; month:1 ; year:2011 ; pages:1-17 ; date:12.2011
BMC bioinformatics ; 12, Heft 1 (6.1.2011), 1-17, 12.2011
- Urheber
-
Chipman, Kyle C.
- Beteiligte Personen und Organisationen
-
Singh, Ambuj K.
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-12-7
- URN
-
urn:nbn:de:1111-2016021725987
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 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
- Chipman, Kyle C.
- Singh, Ambuj K.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Can large language models help augment English psycholinguistic datasets?
Fast Bayesian hyperparameter optimization on large datasets
Bayesian QTL mapping using skewed Student-t distributions
Bayesian TWAS: a causal inference approach
Causal dynamic modeling with Bayesian methods
Restricting datasets to classifiable samples augments discovery of immune disease biomarkers
Causal and mediating effects of lipid and facial aging: association study integrating GWAS, eQTL, mQTL, and pQTL data
Randomization-based, Bayesian inference of causal effects
A gene frequency model for QTL mapping using Bayesian inference
Bayesian Model Selection for Small Datasets of Measurement Results
Assessing causal treatment effect estimation when using large observational datasets
A multi-trait Bayesian method for mapping QTL and genomic prediction
Can large language models help augment English psycholinguistic datasets?
Fast Bayesian hyperparameter optimization on large datasets
Bayesian QTL mapping using skewed Student-t distributions
Bayesian TWAS: a causal inference approach
Causal dynamic modeling with Bayesian methods
Restricting datasets to classifiable samples augments discovery of immune disease biomarkers
Causal and mediating effects of lipid and facial aging: association study integrating GWAS, eQTL, mQTL, and pQTL data
Randomization-based, Bayesian inference of causal effects
A gene frequency model for QTL mapping using Bayesian inference
Bayesian Model Selection for Small Datasets of Measurement Results
Assessing causal treatment effect estimation when using large observational datasets
A multi-trait Bayesian method for mapping QTL and genomic prediction
Can large language models help augment English psycholinguistic datasets?
Fast Bayesian hyperparameter optimization on large datasets
Bayesian QTL mapping using skewed Student-t distributions
Bayesian TWAS: a causal inference approach
Causal dynamic modeling with Bayesian methods
Restricting datasets to classifiable samples augments discovery of immune disease biomarkers
Causal and mediating effects of lipid and facial aging: association study integrating GWAS, eQTL, mQTL, and pQTL data
Randomization-based, Bayesian inference of causal effects
A gene frequency model for QTL mapping using Bayesian inference
Bayesian Model Selection for Small Datasets of Measurement Results
Assessing causal treatment effect estimation when using large observational datasets