Hongyuan Cao

HAUDI improves polygenic score construction for admixed populations by efficiently extending the GAUDI method to multi-way admixture with faster computation and better performance.

Admix-kit provides tools for genetic analysis of admixed populations, enabling simulation, association testing, and polygenic scoring.

This paper introduces ReAD, a method for replicability analysis in GWAS that accounts for linkage disequilibrium, improving power and FDR control compared to existing methods.

JUMP improves replicability analysis in high-dimensional data by controlling FDR and increasing power, applied to spatial transcriptomic datasets.

STAREG identifies replicable spatially variable genes across spatial transcriptomic studies using an empirical Bayesian approach with improved power and false discovery rate control.

This paper introduces TransFun, a method that combines protein sequences and structures using transformers and equivariant graph neural networks to improve protein function prediction.

The paper develops a method to improve statistical power in spatial transcriptomic analysis by integrating multi-omics data while controlling false discovery rate.