Jianzhong Su

This paper introduces MethylAI, a deep learning framework that predicts DNA methylation states from genomic sequence and identifies sequence determinants of methylation through in silico perturbation.

The paper uses Mendelian randomization to identify causal relationships between gut microbes and diabetic retinopathy, finding that Streptococcus salivarius affects DR through host fasting glucose levels.

The paper integrates human organoid scRNA-seq data with GWAS and gene-drug interaction data to identify cell type-specific drug targets for severe COVID-19.

The paper introduces scPagwas, a method that integrates pathway activation transformation of scRNA-seq data with GWAS summary statistics to identify trait-relevant cell populations and pathways.

This study identifies low-frequency variants in FKBP5 and FOLH1 associated with high myopia in Han Chinese and European populations through whole-exome sequencing and functional experiments.

The paper integrates GWAS and scRNA-seq data to identify genetics-influenced immune cell subpopulations associated with severe COVID-19, highlighting key cell types and genes involved in disease severity.

DORGE identifies cancer driver genes by integrating genetic and epigenetic data, finding histone modifications predict TSGs and missense mutations predict OGs.

The paper investigates how 3D chromatin interactions regulate HOXA cluster genes in HSCs and leukemia by analyzing the role of the Geneless Canyon region.