Gaussian process based bayesian semiparametric quantitative trait loci interval mapping

Biometrics

Volumn 66, Issue 1, 2010, Pages 222-232

  Huang, Hanwen ^a   Zhou, Haibo ^a   Cheng, Fuxia ^b   Hoeschele, Ina ^c   Zou, Fei ^a  

^a University of North Carolina at Chapel Hill   (United States)

^b ILLINOIS STATE UNIVERSITY   (United States)

^c VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

Author keywords

Higher order interaction; MCMC; Multiple QTL; Nonlinear; Variable selection

Indexed keywords

BAYESIAN NETWORKS; INFERENCE ENGINES; MARKOV PROCESSES; MONTE CARLO METHODS;

COVARIATES; HIGH-ORDER; HIGH-ORDER INTERACTION; HIGHER-ORDER; MCMC; MULTIPLE QUANTITATIVE TRAIT LOCUS; NONLINEAR; POWER; QUANTITATIVE TRAIT LOCUS; VARIABLES SELECTIONS;

MAPPING;

ACCURACY ASSESSMENT; AGE; BAYESIAN ANALYSIS; DATA ACQUISITION; DEVELOPMENTAL BIOLOGY; GAUSSIAN METHOD; IDENTIFICATION METHOD; MAPPING METHOD; MARKOV CHAIN; MODEL TEST; MONTE CARLO ANALYSIS; PARAMETERIZATION; QUANTITATIVE ANALYSIS; WEIGHT;

BAYES THEOREM; BIOLOGICAL MODEL; BIOMETRY; CHROMOSOME MAP; COMPUTER SIMULATION; GENETICS; HUMAN; NORMAL DISTRIBUTION; PROCEDURES; QUANTITATIVE TRAIT LOCUS; STATISTICAL ANALYSIS; STATISTICAL MODEL;

BAYES THEOREM; BIOMETRY; CHROMOSOME MAPPING; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; NORMAL DISTRIBUTION; QUANTITATIVE TRAIT LOCI;

EID: 77949732339     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01268.x     Document Type: Article

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