[HTML][HTML] Bayesian networks and structural equation modelling to investigate the passengers' perceptions in high-speed rail systems

T Karadağ, GG Şimşek, GA Alçura - Transport, 2024 - jest.vgtu.lt
Ensuring sustainability in the global world today depends on perception management as
well as financial management. In order to manage the perceptions, which are inherently …

Application of Bayesian networks to the prediction of the AMEn: a new methodology in broiler nutrition

TC Alvarenga, RR Lima… - Translational Animal …, 2021 - academic.oup.com
Designing balanced rations for broilers depends on precise knowledge of nitrogen-
corrected apparent metabolizable energy (AMEn) and the chemical composition of the …

Genome-wide association studies of reproductive, growth, and carcass attributes in admixed heifers using latent variables

M Anas - 2024 - library.ndsu.edu
Genomic selection of beef cattle for complex composite traits of economic importance is
becoming challenging with advancements in phenotypic data collection technologies …

Examining the relationships between phenotypic plasticity and local environments with genomic structural equation models

MT Campbell, H Yu, M Momen, G Morota - bioRxiv, 2019 - biorxiv.org
Environmental association analyses (EAA) seek to identify genetic variants associated with
local adaptation by regressing local environmental conditions at collection sites on genome …

Designing and modeling high-throughput phenotyping data in quantitative genetics

H Yu - 2020 - vtechworks.lib.vt.edu
Quantitative genetics aims to bridge the genome to phenome gap. The advent of high-
throughput genotyping technologies has accelerated the progress of genome to phenome …

Covariance structures in multivariate genome-enabled prediction models

KA Töpner - 2019 - mediatum.ub.tum.de
In this thesis, modeling phenotypic structures among multiple traits in plant breeding was
refined. The novel approach allowed to determine trait connections on the genomic and …

[PDF][PDF] Identification of causality in genetics and neuroscience

AH Ribeiro - 2018 - pdfs.semanticscholar.org
Causal inference may help us to understand the underlying mechanisms and the risk factors
of diseases. In Genetics, it is crucial to understand how the connectivity among variables is …