Multi-population genomic prediction using a multi-task Bayesian learning model

BMC Genetics

Volumn 15, Issue , 2014, Pages

  Chen, Liuhong ^a   Li, Changxi ^a,c   Miller, Stephen ^b   Schenkel, Flavio ^b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF GUELPH   (Canada)

^c LACOMBE RESEARCH CENTRE   (Canada)

Author keywords

Bayesian model; Genomic prediction; Multi population; Multi task learning; Stochastic search variable selection

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; AYRSHIRE CATTLE; BAYESIAN LEARNING; GENE FREQUENCY; GENETIC CORRELATION; GENOMICS; GENOTYPE; HOLSTEIN CATTLE; MILK PRODUCTION; MULTI TASK BAYESIAN LEARNING MODEL; NONHUMAN; PHENOTYPE; QUANTITATIVE TRAIT LOCUS; SINGLE NUCLEOTIDE POLYMORPHISM;

ANIMALS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; CATTLE; COMPUTER SIMULATION; FEMALE; GENETICS, POPULATION; GENOMICS; GENOTYPE; LACTATION; MILK; MODELS, GENETIC; MONTE CARLO METHOD; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT, HERITABLE;

EID: 84900842076     PISSN: None     EISSN: 14712156     Source Type: Journal    
DOI: 10.1186/1471-2156-15-53     Document Type: Article

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