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A review of deep learning applications for genomic selection

BMC genomics, 2021-01, Vol.22 (1), p.19-19, Article 19

2021

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Epistasis and covariance: how gene interaction translates into genomic relationship

Theoretical and applied genetics, 2016-05, Vol.129 (5), p.963-976

2016

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Contrasting biodiversity–ecosystem functioning relationships in phylogenetic and functional diversity

The New phytologist, 2016-10, Vol.212 (2), p.409-420

2016

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The effect of the H -1 scaling factors τ and ω on the structure of H in the single-step procedure

Genetics selection evolution (Paris), 2018-04, Vol.50 (1), p.16-16, Article 16

2018

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Integrating Gene Expression Data Into Genomic Prediction

Frontiers in genetics, 2019-02, Vol.10, p.126-126

2019

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Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials

G3 : genes - genomes - genetics, 2020-08, Vol.10 (8), p.2725-2739

2020

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Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments

Theoretical and applied genetics, 2021-09, Vol.134 (9), p.2913-2930

2021

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Strengthening Public Breeding Pipelines by Emphasizing Quantitative Genetics Principles and Open Source Data Management

Frontiers in plant science, 2021-07, Vol.12, p.681624-681624

2021

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Editorial: Genomic Selection: Lessons Learned and Perspectives

Frontiers in plant science, 2022-05, Vol.13, p.890434-890434

2022

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Cooperative binding: a multiple personality

Journal of mathematical biology, 2016-06, Vol.72 (7), p.1747-1774

2016

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Phantom Epistasis in Genomic Selection: On the Predictive Ability of Epistatic Models

G3 : genes - genomes - genetics, 2020-09, Vol.10 (9), p.3137-3145

2020

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A Comparison of the Adoption of Genomic Selection Across Different Breeding Institutions

Frontiers in plant science, 2021-11, Vol.12, p.728567-728567

2021

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Modeling within and between Sub-Genomes Epistasis of Synthetic Hexaploid Wheat for Genome-Enabled Prediction of Diseases

Genes, 2024-02, Vol.15 (3), p.262

2024

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Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions

G3 : genes - genomes - genetics, 2019-04, Vol.9 (4), p.1117-1129

2019

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Genomic prediction of synthetic hexaploid wheat upon tetraploid durum and diploid Aegilops parental pools

The plant genome, 2024-06, Vol.17 (2), p.e20464-n/a

2024

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Opportunities and Challenges of Predictive Approaches for Harnessing the Potential of Genetic Resources

Frontiers in plant science, 2021-07, Vol.12, p.674036-674036

2021

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On Hadamard and Kronecker products in covariance structures for genotype × environment interaction

The plant genome, 2020-11, Vol.13 (3), p.e20033-n/a

2020

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Kinetics or Equilibrium? – A Commentary on a Recent Simulation Study of Semiochemical Dose-Response Curves of Insect Olfactory Sensing

Journal of chemical ecology, 2014-12, Vol.40 (11-12), p.1163-1164

2014

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Corrigendum to: Application of multi-trait bayesian decision theory for parental genomic selection

G3 : genes - genomes - genetics, 2021-04, Vol.11 (3)

2021

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A Model for Carrier-Mediated Biological Signal Transduction Based on Equilibrium Ligand Binding Theory

Bulletin of mathematical biology, 2016-05, Vol.78 (5), p.1039-1057

2016

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A mathematical view on the decoupled sites representation

Journal of mathematical biology, 2013-02, Vol.66 (3), p.477-503

2013

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Incorporating Gene Annotation into Genomic Prediction of Complex Phenotypes

Genetics (Austin), 2017-10, Vol.207 (2), p.489-501

2017

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Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials

Frontiers in genetics, 2019-12, Vol.10, p.1168-1168

2019

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Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE)

BMC bioinformatics, 2017-01, Vol.18 (1), p.3-3, Article 3

2017

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On the approximation of interaction effect models by Hadamard powers of the additive genomic relationship

Theoretical population biology, 2020-04, Vol.132, p.16-23

2020

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A review of deep learning applications for genomic selection

Epistasis and covariance: how gene interaction translates into genomic relationship

Contrasting biodiversity–ecosystem functioning relationships in phylogenetic and functional diversity

The effect of the H -1 scaling factors τ and ω on the structure of H in the single-step procedure

Integrating Gene Expression Data Into Genomic Prediction

Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials

Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments

Strengthening Public Breeding Pipelines by Emphasizing Quantitative Genetics Principles and Open Source Data Management

Editorial: Genomic Selection: Lessons Learned and Perspectives

Cooperative binding: a multiple personality

Phantom Epistasis in Genomic Selection: On the Predictive Ability of Epistatic Models

A Comparison of the Adoption of Genomic Selection Across Different Breeding Institutions

Modeling within and between Sub-Genomes Epistasis of Synthetic Hexaploid Wheat for Genome-Enabled Prediction of Diseases

Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions

Genomic prediction of synthetic hexaploid wheat upon tetraploid durum and diploid Aegilops parental pools

Opportunities and Challenges of Predictive Approaches for Harnessing the Potential of Genetic Resources

On Hadamard and Kronecker products in covariance structures for genotype × environment interaction

Kinetics or Equilibrium? – A Commentary on a Recent Simulation Study of Semiochemical Dose-Response Curves of Insect Olfactory Sensing

Corrigendum to: Application of multi-trait bayesian decision theory for parental genomic selection

A Model for Carrier-Mediated Biological Signal Transduction Based on Equilibrium Ligand Binding Theory

A mathematical view on the decoupled sites representation

Incorporating Gene Annotation into Genomic Prediction of Complex Phenotypes

Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials

Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE)

On the approximation of interaction effect models by Hadamard powers of the additive genomic relationship

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