Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architectures

G3: Genes, Genomes, Genetics

Volumn 4, Issue 6, 2014, Pages 1027-1046

  Howard, Réka ^a,b   Carriquiry, Alicia L ^a   Beavis, William D ^b  

^a Department of Statistics Center for Statistics and Applications in Forensic Evidence Iowa State University 2438 Osborn Dr Ames   (United States)

^b IOWA STATE UNIVERSITY   (United States)

Author keywords

Epistasis; Genomic selection; GenPred; Nonparametric; parametric; Prediction; Shared data resources

Indexed keywords

ACCURACY; ARTICLE; BAYESIAN LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR; BAYESIAN RIDGE REGRESSION; BEST LINEAR UNBIASED PREDICTION; EPISTASIS; GENETIC SELECTION; GENETIC TRAIT; GENETIC VARIABILITY; GENOME; GENOTYPE; HERITABILITY; HUMAN; INBRED STRAIN; LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR; LEAST SQUARES REGRESSION; NADARAYA WATSON ESTIMATOR; NONHUMAN; NONPARAMETRIC METHOD; PARAMETRIC METHOD; PHENOTYPE; QUANTITATIVE TRAIT; REGRESSION ANALYSIS; REPRODUCING KERNEL HILBERT SPACE; RIDGE REGRESSION; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; SUPPORT VECTOR MACHINE REGRESSION;

EID: 84902603065     PISSN: None     EISSN: 21601836     Source Type: Journal    
DOI: 10.1534/g3.114.010298     Document Type: Article

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