Bayesian structural equation models for inferring relationships between phenotypes: a review of methodology, identifiability, and applications.

Bayesian structural equation models for inferring relationships between phenotypes: a review of methodology, identifiability, and applications.

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http://www.wikidata.org/entity/Q37674966
Simultaneous estimation of multiple quantitative trait loci and growth curve parameters through hierarchical Bayesian modelingBreeding and Genetics Symposium: inferring causal effects from observational data in livestock.Inference of gene regulatory networks with sparse structural equation models exploiting genetic perturbations.The Causal Meaning of Genomic Predictors and How It Affects Construction and Comparison of Genome-Enabled Selection Models.Uncovering a Nuisance Influence of a Phenological Trait of Plants Using a Nonlinear Structural Equation: Application to Days to Heading and Culm Length in Asian Cultivated Rice (Oryza Sativa L.).Is structural equation modeling advantageous for the genetic improvement of multiple traits?Inferring causal phenotype networks using structural equation models.Genetic parameters for paratuberculosis infection and effect of infection on production traits in Israeli Holsteins.Inferring relationships between Phosphorus utilization, feed per gain, and bodyweight gain in an F2 cross of Japanese quail using recursive models.Causal relationships between milk quality and coagulation properties in Italian Holstein-Friesian dairy cattleSearching for recursive causal structures in multivariate quantitative genetics mixed models.Alternative parameterizations of the multiple-trait random regression model for milk yield and somatic cell score via recursive links between phenotypes.Review: To be or not to be an identifiable model. Is this a relevant question in animal science modelling?Quantitative genetic analysis of causal relationships among feather pecking, feather eating, and general locomotor activity in laying hens using structural equation models.Including Phenotypic Causal Networks in Genome-Wide Association Studies Using Mixed Effects Structural Equation Models
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Bayesian structural equation models for inferring relationships between phenotypes: a review of methodology, identifiability, and applications.

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http://www.wikidata.org/entity/Q37674966
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on February 2010
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Bayesian structural equation m ...... tifiability, and applications.
@en
Bayesian structural equation m ...... tifiability, and applications.
@nl
type
label
Bayesian structural equation m ...... tifiability, and applications.
@en
Bayesian structural equation m ...... tifiability, and applications.
@nl
prefLabel
Bayesian structural equation m ...... tifiability, and applications.
@en
Bayesian structural equation m ...... tifiability, and applications.
@nl
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P2093
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P478
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Bayesian structural equation m ...... tifiability, and applications.
@en
P2093
P304
P31
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10.1111/J.1439-0388.2009.00835.X
P433
P478
P577
P698