Sungho Won

COBRA removes cell-type-specific batch effects in scRNA-seq data, preserving biological differences and improving integration across datasets.

This study conducts a large-scale GWAS meta-analysis across East Asian populations, identifying 8,010 new associations and revealing shared and population-specific genetic architectures for 127 complex traits.

The paper introduces mTMAT, a statistical method for analyzing longitudinal microbiome data to detect associations with host diseases while being robust to compositional bias.

This study develops a lung cancer prediction model for Korean never-smokers using polygenic risk scores, finding higher odds ratios and improved AUC with PRSs.

BALLI improves differential expression analysis in RNA-seq by addressing small sample bias and providing better power and precision than existing methods.

This paper develops a method integrating family history with genetic data to improve type 2 diabetes risk prediction, showing family history adds significant predictive value beyond genetic variants.