Tianjing Zhao

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

Microbiome-enabled genomic selection improves prediction accuracy for nitrogen-related traits in maize

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

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

Challenges in Whole-Genome Analysis: Multilayer Omics Data and Data Encryption

Quantifying the functional conservation between human and pig using artificial neural networks

JWAS version 2: leveraging biological information and highthroughput phenotypes into genomic prediction and association

Extend mixed models to multilayer neural networks for genomic prediction including intermediate omics data