Jiaqi Gu

Uncovering Heterogeneous Effects via Localized Feature Selection

This paper introduces a framework for identifying disease-associated features tailored to individual profiles using localized test statistics, applied to single-cell RNA sequencing data for Alzheimer's disease.

Distilling Direct Effects via Conditional Differential Gene Expression Analysis

The paper introduces conditional differential gene expression analysis to distinguish direct from mediated gene effects in RNA sequencing data, finding most differentially expressed genes are not directly causal.

Beyond guilty by association at scale: searching for causal variants on the basis of genome-wide summary statistics

This paper introduces a method to identify causal variants from genome-wide summary statistics, outperforming existing methods and discovering additional loci for complex traits.