Predicting quantitative traits with regression models for dense molecular markers and pedigree. - Wikidata - awgldk - TriplyDB

Predicting quantitative traits with regression models for dense molecular markers and pedigree.

Predicting quantitative traits with regression models for dense molecular markers and pedigree.

http://www.wikidata.org/entity/Q37173407

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Wheat quality improvement at CIMMYT and the use of genomic selection on it The contribution of dominance to phenotype prediction in a pine breeding and simulated population Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics Genomic selection for fruit quality traits in apple (Malus×domestica Borkh.)A primer on high-throughput computing for genomic selection Estimation of quantitative trait locus effects with epistasis by variational Bayes algorithms Accuracy of Genomic Selection in a Rice Synthetic Population Developed for Recurrent Selection Breeding.The utility of mitochondrial and y chromosome phylogenetic data to improve correction for population stratification Fast genomic predictions via Bayesian G-BLUP and multilocus models of threshold traits including censored Gaussian data.A reaction norm model for genomic selection using high-dimensional genomic and environmental data Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data.Predicting chemical bioavailability using microarray gene expression data and regression modeling: A tale of three explosive compounds.Predicting the evolutionary dynamics of seasonal adaptation to novel climates in Arabidopsis thaliana.Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones.Genomic Prediction of Gene Bank Wheat Landraces Genomic breeding value prediction using three Bayesian methods and application to reduced density marker panels.Genomic Selection for Drought Tolerance Using Genome-Wide SNPs in Maize Encoding Dissimilarity Data for Statistical Model Building Prediction of years of life after diagnosis of breast cancer using omics and omic-by-treatment interactions.Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architectures Beyond missing heritability: prediction of complex traits Pitfalls of predicting complex traits from SNPs.A bayesian mixed regression based prediction of quantitative traits from molecular marker and gene expression data.Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.).Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers.Efficiency of genomic selection using Bayesian multi-marker models for traits selected to reflect a wide range of heritabilities and frequencies of detected quantitative traits loci in mice.Genome-wide regression and prediction with the BGLR statistical package.Bayesian genomic-enabled prediction as an inverse problem Prediction of expected years of life using whole-genome markers Accuracy of genomic prediction for growth and carcass traits in Chinese triple-yellow chickens Comparison of whole-genome prediction models for traits with contrasting genetic architecture in a diversity panel of maize inbred lines.Inferring genetic architecture of complex traits using Bayesian integrative analysis of genome and transcriptome data.Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers Estimates of marker effects for measures of milk flow in the Italian brown Swiss dairy cattle population.A fast EM algorithm for BayesA-like prediction of genomic breeding values.Nonparametric method for genomics-based prediction of performance of quantitative traits involving epistasis in plant breeding.Polygenic modeling with bayesian sparse linear mixed models.Unraveling additive from nonadditive effects using genomic relationship matrices.A class of Bayesian methods to combine large numbers of genotyped and non-genotyped animals for whole-genome analyses.

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Predicting quantitative traits with regression models for dense molecular markers and pedigree.

http://www.wikidata.org/entity/Q37173407

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 16 March 2009

@en

vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

Predicting quantitative traits ...... olecular markers and pedigree.

@en

Predicting quantitative traits ...... olecular markers and pedigree.

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type

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Predicting quantitative traits ...... olecular markers and pedigree.

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Predicting quantitative traits ...... olecular markers and pedigree.

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prefLabel

Predicting quantitative traits ...... olecular markers and pedigree.

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Predicting quantitative traits ...... olecular markers and pedigree.

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GENETICS.109.101501

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Predicting quantitative traits ...... olecular markers and pedigree.

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Andrés Legarra

http://www.w3.org/2001/XMLSchema#string

Daniel Gianola

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Eduardo Manfredi

http://www.w3.org/2001/XMLSchema#string

Gustavo de los Campos

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Hugo Naya

http://www.w3.org/2001/XMLSchema#string

José Crossa

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José Miguel Cotes

http://www.w3.org/2001/XMLSchema#string

Kent Weigel

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P2860

The International Rice Information System. A platform for meta-analysis of rice crop data

Prediction of total genetic value using genome-wide dense marker maps

Genome-wide association studies: theoretical and practical concerns.

On marker-assisted prediction of genetic value: beyond the ridge.

Estimating polygenic effects using markers of the entire genome

Genomic-assisted prediction of genetic value with semiparametric procedures.

Genetic and environmental effects on complex traits in mice

Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure.

The impact of genetic relationship information on genome-assisted breeding values.

Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits.

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375-385

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scholarly article

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10.1534/GENETICS.109.101501

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1

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182

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2009-03-16T00:00:00Z

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24207272

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19293140

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2674834

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