Yiliang Zhang

This paper introduces GENJI, a method to estimate genetic correlation using both individual-level and summary-level GWAS data, improving accuracy and efficiency over existing methods.

This study benchmarks three methods for estimating local genetic correlation using GWAS summary statistics, highlighting challenges with sample overlap and LD estimation.

The paper identifies novel disease-associated genes for idiopathic pulmonary fibrosis using integrative genetic and transcriptomic analyses.

This study introduces SUPERGNOVA, a framework for estimating local genetic correlations, and identifies 150 trait pairs with significant local genetic correlations, including autism spectrum disorder and cognitive performance.

This study benchmarks methods for estimating genetic correlation between complex traits using GWAS summary statistics, highlighting challenges like LD dependency and sample overlap.

SCRIBE imputes dropout events and corrects batch effects in scRNA-seq data, improving recovery of cell-specific gene expression and biological variation.