Youshu Cheng

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.

scLAMBDA models and predicts single-cell transcriptional responses to genetic perturbations, outperforming existing methods in accuracy and generalization.

This study uses multi-trait analysis to identify novel genetic loci for smoking behaviors by leveraging alcohol use disorder GWAS data from the Million Veteran Program.

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