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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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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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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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Integrating Gene Expression Data Into Genomic Prediction

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

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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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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Incorporating Gene Annotation into Genomic Prediction of Complex Phenotypes

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

2017

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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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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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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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Cooperative binding: a multiple personality

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

2016

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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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Editorial: Genomic Selection: Lessons Learned and Perspectives

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

2022

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Use of remote sensing for linkage mapping and genomic prediction for common rust resistance in maize

Field crops research, 2024-03, Vol.308, p.109281-109281, Article 109281

2024

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A measure to quantify the degree of cooperativity in overall titration curves

Journal of theoretical biology, 2017-11, Vol.432, p.33-37

Martini, Johannes W.R.

2017

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Decoupled molecules with binding polynomials of bidegree (n, 2)

Journal of mathematical biology, 2019-03, Vol.78 (4), p.879-898

2019

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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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Cooperativity, absolute interaction, and algebraic optimization

Journal of mathematical biology, 2020-11, Vol.81 (4-5), p.1169-1191

2020

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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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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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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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Multispectral and thermal infrared data, visual scores for severity of common rust symptoms, and genotypic single nucleotide polymorphism data of three F2-derived biparental doubled-haploid maize populations

Data in brief, 2024-06, Vol.54, p.110300-110300, Article 110300

2024

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A review of deep learning applications for genomic selection

Epistasis and covariance: how gene interaction translates into genomic relationship

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

Contrasting biodiversity–ecosystem functioning relationships in phylogenetic and functional diversity

Integrating Gene Expression Data Into Genomic Prediction

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

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

Incorporating Gene Annotation into Genomic Prediction of Complex Phenotypes

Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials

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

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

Cooperative binding: a multiple personality

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

Editorial: Genomic Selection: Lessons Learned and Perspectives

Use of remote sensing for linkage mapping and genomic prediction for common rust resistance in maize

A measure to quantify the degree of cooperativity in overall titration curves

Decoupled molecules with binding polynomials of bidegree (n, 2)

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

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

Cooperativity, absolute interaction, and algebraic optimization

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

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

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

Multispectral and thermal infrared data, visual scores for severity of common rust symptoms, and genotypic single nucleotide polymorphism data of three F2-derived biparental doubled-haploid maize populations

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