Comparison of single-trait and multiple-trait genomic prediction models.
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Bayesian methods for jointly estimating genomic breeding values of one continuous and one threshold traitPrediction of gene expression with cis-SNPs using mixed models and regularization methodsMeta-analysis of metabolome QTLs in Arabidopsis: trying to estimate the network size controlling genetic variation of the metabolome.Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder.Genomic selection for the improvement of antibody response to Newcastle disease and avian influenza virus in chickens.Inclusion of Dominance Effects in the Multivariate GBLUP ModelGenome-enabled predictions for fruit weight and quality from repeated records in European peach progenies.Bayesian Networks Illustrate Genomic and Residual Trait Connections in Maize (Zea mays L.).Application of single-step genomic best linear unbiased prediction with a multiple-lactation random regression test-day model for Japanese Holsteins.A Genomic Bayesian Multi-trait and Multi-environment Model.A Novel Pathway-Based Approach Improves Lung Cancer Risk Prediction Using Germline Genetic Variations.Implementing meta-analysis from genome-wide association studies for pork quality traits.A predictive assessment of genetic correlations between traits in chickens using markers.Accuracies of univariate and multivariate genomic prediction models in African cassava.A robust DF-REML framework for variance components estimation in genetic studies.Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum.Improving the baking quality of bread wheat by genomic selection in early generations.Advantages and limitations of multiple-trait genomic prediction for Fusarium head blight severity in hybrid wheat (Triticum aestivum L.).Multiple-trait- and selection indices-genomic predictions for grain yield and protein content in rye for feeding purposes.Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the GenomeGenome-wide association study and genomic prediction using parental and breeding populations of Japanese pear (Pyrus pyrifolia Nakai)
P2860
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P2860
Comparison of single-trait and multiple-trait genomic prediction models.
description
2014 nî lūn-bûn
@nan
2014 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մարտին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Comparison of single-trait and multiple-trait genomic prediction models.
@ast
Comparison of single-trait and multiple-trait genomic prediction models.
@en
type
label
Comparison of single-trait and multiple-trait genomic prediction models.
@ast
Comparison of single-trait and multiple-trait genomic prediction models.
@en
prefLabel
Comparison of single-trait and multiple-trait genomic prediction models.
@ast
Comparison of single-trait and multiple-trait genomic prediction models.
@en
P2093
P2860
P356
P1433
P1476
Comparison of single-trait and multiple-trait genomic prediction models.
@en
P2093
Fuping Zhao
Guosheng Su
Yachun Wang
Yuan Zhang
P2860
P2888
P356
10.1186/1471-2156-15-30
P577
2014-03-04T00:00:00Z
P5875
P6179
1045440059