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Genetics, Selection, Evolution : GSE|April 16, 2020
Fast parallelized sampling of Bayesian regression models for whole-genome predictionTianjing Zhao, Rohan Fernando, Dorian Garrick, et al.G3 (Bethesda, Md.)|May 9, 2015
XSim: Simulation of Descendants from Ancestors with Sequence DataHao Cheng, Dorian Garrick, Rohan FernandoG3 (Bethesda, Md.)|September 9, 2021
Interpretable artificial neural networks incorporating Bayesian alphabet models for genome-wide prediction and association studiesTianjing Zhao, Rohan Fernando, Hao ChengGenetics|March 9, 2018
Genomic Prediction from Multiple-Trait Bayesian Regression Methods Using Mixture PriorsHao Cheng, Kadir Kizilkaya, Jian Zeng, et al.G3 (Bethesda, Md.)|March 4, 2022
XSim version 2: simulation of modern breeding programsChunpeng James Chen, Dorian Garrick, Rohan Fernando, et al.Plos One|March 22, 2018
A nested mixture model for genomic prediction using whole-genome SNP genotypesJian Zeng, Dorian Garrick, Jack Dekkers, et al.Genetics, Selection, Evolution : GSE|January 18, 2017
Comparison of alternative approaches to single-trait genomic prediction using genotyped and non-genotyped Hanwoo beef cattleJoonho Lee, Hao Cheng, Dorian Garrick, et al.Genetics, Selection, Evolution : GSE|October 3, 2023
Interpreting single-step genomic evaluation as a neural network of three layers: pedigree, genotypes, and phenotypesTianjing Zhao, Hao ChengGenetics|February 25, 2022
Extend mixed models to multilayer neural networks for genomic prediction including intermediate omics dataTianjing Zhao, Jian Zeng, Hao ChengFrontiers in Genetics|August 28, 2020
Corrigendum: Exact Distribution of Linkage Disequilibrium in the Presence of Mutation, Selection, or Minor Allele Frequency FilteringJiayi Qu, Stephen D Kachman, Dorian Garrick, et al.Pageof 216