[HTML][HTML] DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …
[HTML][HTML] DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
K Wang, MA Abid, A Rasheed, J Crossa, S Hearne… - Molecular Plant, 2023 - Elsevier
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …
[PDF][PDF] DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants 2
K Wang, MA Abid, A Rasheed, J Crossa, S Hearne… - researchgate.net
The application of DL in plant breeding is an active area of research. We here introduced 25
a new method DNNGP, to predict quantitative traits from multi-omics data in the 26 context of …
a new method DNNGP, to predict quantitative traits from multi-omics data in the 26 context of …
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
K Wang, MA Abid, A Rasheed, J Crossa… - Molecular …, 2023 - pubmed.ncbi.nlm.nih.gov
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants.
K Wang, MA Abid, A Rasheed, J Crossa, S Hearne… - Molecular …, 2022 - europepmc.org
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
K Wang, MA Abid, A Rasheed, J Crossa… - Molecular …, 2023 - cgspace.cgiar.org
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants.
K Wang, MA Abid, A Rasheed, J Crossa, S Hearne… - 2023 - cabidigitallibrary.org
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
K Wang, MA Abid, A Rasheed, J Crossa, S Hearne… - sidalc.net
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
K Wang, MA Abid, A Rasheed, J Crossa, S Hearne… - sidalc.net
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …
[PDF][PDF] DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
K Wang, MA Abid, A Rasheed, J Crossa… - Molecular …, 2023 - cgspace.cgiar.org
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …