Hao Cheng

发表

Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction

R. Fernando, D. Garrick, Hao Cheng, 2017, Journal of Animal Science and Biotechnology.

Pilot study: Application of artificial intelligence for detecting left atrial enlargement on canine thoracic radiographs

E. Wisner, Hao Cheng, Shen Li, 2020, Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association.

XSim: Simulation of Descendants from Ancestors with Sequence Data

R. Fernando, D. Garrick, Hao Cheng, 2015, G3: Genes, Genomes, Genetics.

Mega-scale Bayesian regression methods for genome-wide prediction and association studies with thousands of traits

Daniel E. Runcie, Hao Cheng, Jiayi Qu, 2022, bioRxiv.

Computational strategies for alternative single-step Bayesian regression models with large numbers of genotyped and non-genotyped animals

R. Fernando, D. Garrick, Hao Cheng, 2016, Genetics Selection Evolution.

Interpreting single-step genomic evaluations as mixed effects neural networks of three layers: pedigree, genotypes, and phenotypes

Hao Cheng, Tianjing Zhao, T. Zhao, 2022, bioRxiv.

Genome-wide mapping of quantitative trait loci that can be used in marker-assisted selection for resistance to bacterial cold water disease in two commercial rainbow trout breeding populations

G. Wiens, Y. Palti, Sixin Liu, 2022, Aquaculture.

A Computer Program for Estimating the Re-transformed Mean in Heteroscedastic Two-part Transformation Models

Xiao-Hua Zhou, Hao Cheng, 2005 .

A compendium of genetic regulatory effects across pig tissues

Xiangdong Ding, M. Lund, K. Rawlik, 2022, bioRxiv.

Transcriptome annotation of 17 porcine tissues using nanopore sequencing technology.

C. Ernst, Huaijun Zhou, A. Islas-Trejo, 2022, Animal genetics.

Genome-wide association study of disease resilience traits from a natural polymicrobial disease challenge model in pigs identifies the importance of the major histocompatibility complex region

R. Fernando, G. Plastow, S. Kachman, 2021, G3.

Single-Trait and Multiple-Trait Genomic Prediction From Multi-Class Bayesian Alphabet Models Using Biological Information

Hao Cheng, Zigui Wang, 2021, Frontiers in Genetics.

MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits

Daniel E. Runcie, Lorin Crawford, Hao Cheng, 2020, Genome Biology.

Genome-wide association studies for egg quality traits in White Leghorn layers using low-pass sequencing and SNP chip data.

Hao Cheng, A. Wolc, J. Arango, 2022, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Comparison of alternative approaches to single-trait genomic prediction using genotyped and non-genotyped Hanwoo beef cattle

R. Fernando, J. Dekkers, D. Garrick, 2017, Genetics Selection Evolution.

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 rainbow trout breeding population

G. Wiens, Y. Palti, Hao Cheng, 2021 .

Quantitative phenotyping of shell suture strength in walnut (Juglans regia L.) enhances precision for detection of QTL and genome-wide association mapping

D. Neale, C. Leslie, P. Brown, 2020, PloS one.

Editorial: Multi-Layered Genome-Wide Association/Prediction in Animals

Zhe Zhang, L. Fang, Hao Cheng, 2022, Frontiers in Genetics.

Assessing Accuracy of Genomic Predictions for Resistance to Infectious Hematopoietic Necrosis Virus With Progeny Testing of Selection Candidates in a Commercial Rainbow Trout Breeding Population

J. R. Macmillan, Y. Palti, Hao Cheng, 2020, Frontiers in Veterinary Science.

Exact Distribution of Linkage Disequilibrium in the Presence of Mutation, Selection, or Minor Allele Frequency Filtering

R. Fernando, S. Kachman, D. Garrick, 2019, bioRxiv.

Extend Mixed Models to Multi-layer Neural Networks for Genomic Prediction Including Intermediate Omics Data

J. Zeng, Hao Cheng, T. Zhao, 2021, bioRxiv.

Tests of association based on genomic windows can lead to spurious associations when using genotype panels with heterogeneous SNP densities

R. Fernando, Hao Cheng, Jinghui Li, 2021, Genetics, selection, evolution : GSE.

Interpretable artificial neural networks incorporating Bayesian alphabet models for genome-wide prediction and association studies

R. Fernando, Hao Cheng, T. Zhao, 2021, bioRxiv.

A Multiple-Trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association Studies

Gota Morota, Hao Cheng, Zigui Wang, 2019, bioRxiv.

Pitfalls and Remedies for Cross Validation with Multi-trait Genomic Prediction Methods

Hao Cheng, Daniel E. Runcie, Hao Cheng, 2019, G3: Genes, Genomes, Genetics.

JWAS: Julia implementation of Whole-genome Analyses Software

Dorian J. Garrick, Rohan L. Fernando, Hao Cheng, 2018 .

In vitro breeding : application of embryonic stem cells to animal production 1 Running title : In vitro breeding Summary

Jun Wu, J. Medrano, Hao Cheng, 2018 .

Learning functional conservation between pig and human to decipher evolutionary mechanisms underlying gene expression and complex trait

J. Zeng, Zhili Zheng, Z. Pan, 2023, bioRxiv.

Fast parallelized sampling of Bayesian regression models for whole-genome prediction

R. Fernando, D. Garrick, Hao Cheng, 2020, Genetics Selection Evolution.

ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1

D. Cook, G. Morota, Hao Cheng, 2021, Journal of animal science.

XSim version 2: simulation of modern breeding programs

Chunpeng James Chen, R. Fernando, D. Garrick, 2022, G3.

Combining phenotype, genotype and environment to uncover genetic components underlying water use efficiency in Persian walnut.

D. Neale, R. Abdollahi-Arpanahi, C. Leslie, 2019, Journal of experimental botany.

Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction

R. Fernando, D. Garrick, Hao Cheng, 2017, Journal of Animal Science and Biotechnology.

Deciphering of the Genetic Control of Phenology, Yield, and Pellicle Color in Persian Walnut (Juglans regia L.)

D. Neale, C. Leslie, Hao Cheng, 2019, Front. Plant Sci..

Computational strategies for alternative single-step Bayesian regression models with large numbers of genotyped and non-genotyped animals

R. Fernando, D. Garrick, Hao Cheng, 2016, Genetics Selection Evolution.

Genome-wide association analysis and accuracy of genome-enabled breeding value predictions for resistance to infectious hematopoietic necrosis virus in a commercial rainbow trout breeding population

J. R. Macmillan, Y. Palti, Hao Cheng, 2019, Genetics Selection Evolution.

Parallel Computing to Speed up Whole-Genome Bayesian Regression Analyses

Hao Cheng, Hao Cheng, 2014 .

A fast and efficient Gibbs sampler for BayesB in whole-genome analyses

R. Fernando, D. Garrick, Hao Cheng, 2015, Genetics Selection Evolution.

Optimizing Sequencing Resources in Genotyped Livestock Populations Using Linear Programming

Kuruvilla Joseph Abraham, Hao Cheng, Keyu Xu, 2020, bioRxiv.

A low-cost greenhouse-based high-throughput phenotyping platform for genetic studies: a case study in maize under inoculation with plant growth-promoting bacteria

G. Morota, R. Fritsche‐Neto, Hao Cheng, 2021, bioRxiv.

Genomic Prediction from Multiple-Trait Bayesian Regression Methods Using Mixture Priors

Dorian Garrick, Kadir Kizilkaya, Hao Cheng, 2018, Genetics.

Interpreting single-step genomic evaluation as a neural network of three layers: pedigree, genotypes, and phenotypes

Hao Cheng, T. Zhao, 2023, Genetics Selection Evolution.

Fast parallelized sampling of Bayesian regression models for whole-genome prediction

R. Fernando, D. Garrick, Hao Cheng, 2020, Genetics Selection Evolution.

Comparison of alternative approaches to single-trait genomic prediction using genotyped and non-genotyped Hanwoo beef cattle

Jack Dekkers, Kyungdo Park, Dorian Garrick, 2017, Genetics Selection Evolution.

Using encrypted genotypes and phenotypes for collaborative genomic analyses to maintain data confidentiality

Hao Cheng, T. Zhao, Fangyi Wang, 2023, bioRxiv.

VTag: a semi-supervised pipeline for tracking pig activity with a single top-view camera

G. Morota, Zhiwu Zhang, Hao Cheng, 2022, Journal of animal science.

Learning functional conservation between human and pig to decipher evolutionary mechanisms underlying gene expression and complex traits

Zhili Zheng, Z. Pan, Zhe Zhang, 2023, Cell genomics.

In vitro breeding: application of embryonic stem cells to animal production†.

Jun Wu, J. Medrano, Hao Cheng, 2018, Biology of reproduction.

A fast and efficient Gibbs sampler for BayesB in whole-genome analyses

Dorian J. Garrick, Rohan L. Fernando, Long Qu, 2015, Genetics Selection Evolution.