Cargando…
Predicting Genetic Values: A Kernel-Based Best Linear Unbiased Prediction With Genomic Data
Genomic data provide a valuable source of information for modeling covariance structures, allowing a more accurate prediction of total genetic values (GVs). We apply the kriging concept, originally developed in the geostatistical context for predictions in the low-dimensional space, to the high-dime...
Autores principales: | Ober, Ulrike, Erbe, Malena, Long, Nanye, Porcu, Emilio, Schlather, Martin, Simianer, Henner |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3176539/ https://www.ncbi.nlm.nih.gov/pubmed/21515573 http://dx.doi.org/10.1534/genetics.111.128694 |
Ejemplares similares
-
Accounting for Genetic Architecture Improves Sequence Based Genomic Prediction for a Drosophila Fitness Trait
por: Ober, Ulrike, et al.
Publicado: (2015) -
Accuracy of Whole-Genome Prediction Using a Genetic Architecture-Enhanced Variance-Covariance Matrix
por: Zhang, Zhe, et al.
Publicado: (2015) -
Correction: Accounting for Genetic Architecture Improves Sequence Based Genomic Prediction for a Drosophila Fitness Trait
por: Ober, Ulrike, et al.
Publicado: (2015) -
Improving the Accuracy of Whole Genome Prediction for Complex Traits Using the Results of Genome Wide Association Studies
por: Zhang, Zhe, et al.
Publicado: (2014) -
Best Prediction of the Additive Genomic Variance in Random-Effects Models
por: Schreck, Nicholas, et al.
Publicado: (2019)