Seong Kyu Han

The paper identifies tissue-specific regulatory variants influencing blood pressure heritability using GWAS and gene expression data.

The paper identifies high-resolution eQTLs in kidney tissues using Bayesian fine mapping with integrative priors, improving resolution and functional relevance.

The paper introduces gkmQC, a sequence-based model to assess and refine chromatin accessibility data quality, improving peak calling and regulatory element alignment.

The paper identifies link clustering as a principle explaining non-central essential genes in PPI networks, showing they have distinct functional and evolutionary characteristics compared to central essential genes.