Articles with public access mandates - Hao ChengLearn more
Available somewhere: 37
Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction
H Cheng, DJ Garrick, RL Fernando
Journal of animal science and biotechnology 8, 1-5, 2017
Mandates: US Department of Agriculture
Computational strategies for alternative single-step Bayesian regression models with large numbers of genotyped and non-genotyped animals
RL Fernando, H Cheng, BL Golden, DJ Garrick
Genetics Selection Evolution 48, 1-8, 2016
Mandates: US Department of Agriculture
Genomic prediction from multiple-trait Bayesian regression methods using mixture priors
H Cheng, K Kizilkaya, J Zeng, D Garrick, R Fernando
Genetics 209 (1), 89-103, 2018
Mandates: US Department of Agriculture
An upper bound for accuracy of prediction using GBLUP
E Karaman, H Cheng, MZ Firat, DJ Garrick, RL Fernando
PloS one 11 (8), e0161054, 2016
Mandates: US National Institutes of Health
Genome-wide association analysis and accuracy of genome-enabled breeding value predictions for resistance to infectious hematopoietic necrosis virus in a commercial rainbow …
RL Vallejo, H Cheng, BO Fragomeni, KL Shewbridge, G Gao, ...
Genetics Selection Evolution 51, 1-14, 2019
Mandates: US Department of Agriculture
A compendium of genetic regulatory effects across pig tissues
J Teng, Y Gao, H Yin, Z Bai, S Liu, H Zeng, PigGTEx Consortium, L Bai, ...
Nature genetics 56 (1), 112-123, 2024
Mandates: UK Biotechnology and Biological Sciences Research Council, UK Medical …
Pitfalls and remedies for cross validation with multi-trait genomic prediction methods
D Runcie, H Cheng
G3: Genes, Genomes, Genetics 9 (11), 3727-3741, 2019
Mandates: US Department of Agriculture
MegaLMM: mega-scale linear mixed models for genomic predictions with thousands of traits
DE Runcie, J Qu, H Cheng, L Crawford
Genome biology 22, 1-25, 2021
Mandates: US National Institutes of Health, US Department of Agriculture
Deciphering of the Genetic Control of Phenology, Yield, and Pellicle Color in Persian Walnut (Juglans regia L.)
A Marrano, GM Sideli, CA Leslie, H Cheng, DB Neale
Frontiers in plant science 10, 1140, 2019
Mandates: US Department of Agriculture
Runs of homozygosity in a selected cattle population with extremely inbred bulls: Descriptive and functional analyses revealed highly variable patterns
D Goszczynski, A Molina, E Terán, H Morales-Durand, P Ross, H Cheng, ...
PLoS One 13 (7), e0200069, 2018
Mandates: Government of Argentina
Comparison of alternative approaches to single-trait genomic prediction using genotyped and non-genotyped Hanwoo beef cattle
J Lee, H Cheng, D Garrick, B Golden, J Dekkers, K Park, D Lee, ...
Genetics Selection Evolution 49, 1-9, 2017
Mandates: US Department of Agriculture
A fast and efficient Gibbs sampler for BayesB in whole-genome analyses
H Cheng, L Qu, DJ Garrick, RL Fernando
Genetics Selection Evolution 47, 1-7, 2015
Mandates: US National Institutes of Health
An efficient exact method to obtain GBLUP and single-step GBLUP when the genomic relationship matrix is singular
RL Fernando, H Cheng, DJ Garrick
Genetics Selection Evolution 48, 1-12, 2016
Mandates: US Department of Agriculture
Assessing accuracy of genomic predictions for resistance to infectious hematopoietic necrosis virus with progeny testing of selection candidates in a commercial rainbow trout …
RL Vallejo, BO Fragomeni, H Cheng, G Gao, RL Long, KL Shewbridge, ...
Frontiers in Veterinary Science 7, 590048, 2020
Mandates: US Department of Agriculture
Objective phenotyping of root system architecture using image augmentation and machine learning in alfalfa (Medicago sativa L.)
Z Xu, LM York, A Seethepalli, B Bucciarelli, H Cheng, DA Samac
Plant Phenomics, 2022
Mandates: US Department of Energy
The accuracy of genomic predictions for bacterial cold water disease resistance remains higher than the pedigree-based model one generation after model training in a commercial …
RL Vallejo, H Cheng, BO Fragomeni, G Gao, RMO Silva, KE Martin, ...
Aquaculture 545, 737164, 2021
Mandates: US Department of Agriculture
Extend mixed models to multilayer neural networks for genomic prediction including intermediate omics data
T Zhao, J Zeng, H Cheng
Genetics 221 (1), iyac034, 2022
Mandates: US Department of Agriculture
Interpretable artificial neural networks incorporating Bayesian alphabet models for genome-wide prediction and association studies
T Zhao, R Fernando, H Cheng
G3 11 (10), jkab228, 2021
Mandates: US Department of Agriculture
A low‐cost greenhouse‐based high‐throughput phenotyping platform for genetic studies: A case study in maize under inoculation with plant growth‐promoting bacteria
RM Yassue, G Galli, R Borsato Jr, H Cheng, G Morota, R Fritsche‐Neto
The Plant Phenome Journal 5 (1), e20043, 2022
Mandates: Fundação de Amparo à Pesquisa do Estado de São Paulo
A comparison of identity‐by‐descent and identity‐by‐state matrices that are used for genetic evaluation and estimation of variance components
RL Fernando, H Cheng, X Sun, DJ Garrick
Journal of Animal Breeding and Genetics 134 (3), 213-223, 2017
Mandates: US Department of Agriculture
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