A novel variational Bayes multiple locus Z-statistic for genome-wide association studies with Bayesian model averaging
- Autor
- LOGSDON, Benjamin A1 ; CARTY, Cara L1 ; REINER, Alexander P1 2 ; DAI, James Y1 3 ; KOOPERBERG, Charles1
[1] Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, University of Washington, United States
[2] Department of Epidemiology, University of Washington, United States
[3] Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, 98109, Seattle, WA, 98195, United States - Fuente
Bioinformatics (Oxford. Print). 2012, Vol 28, Num 13, pp 1738-1744, 7 p ; ref : 3/4 p
- ISSN
- 1367-4803
- Campo Científico
- Bioinformatics
- Editor
- Oxford University Press, Oxford
- País de la publicación
- United Kingdom
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave (fr)
- Génome Locus Modèle Multiple Statistique Méthode Bayes
- Palabra clave (in)
- Genome Locus Models Multiple Statistics
- Palabra clave (es)
- Genoma Locus Modelo Múltiple Estadística
- Clasificación
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A01 General aspects / 002A01B Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
- Disciplina
- Biological sciences. Generalities. Modelling. Methods Generalities in biological sciences
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 26030718
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1093/bioinformatics/bts261 
https://dx.doi.org/10.1093/bioinformatics/bts261
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