Hangjin Jiang

UK BioCoin enables trait-specific covariate adjustment for UK Biobank summary statistics without individual-level data, achieving high correlation with full GWAS results.

This paper introduces RBET, a statistical framework to evaluate batch correction methods for single-cell transcriptomic data integration, showing it selects optimal tools for accurate downstream analysis.

This paper introduces non-parametric GWAS methods that reduce false negatives by addressing SNP coding strategy issues, showing improved performance in identifying significant genetic loci.

This paper introduces a new method to analyze free energy landscapes from MD data, showing improved performance on benchmark datasets.

Deep6mA is a deep learning framework for identifying DNA 6mA sites, achieving high accuracy across species and revealing conserved sequence patterns and regulatory roles of 6mA.