Shuilin Jin

MOSAIC improves cell-type annotation by integrating single-cell marker evidence with population context in a probabilistic framework, outperforming existing methods across multiple tissues.

HiFiCCL improves ultra-low-coverage genome assembly using high-fidelity long-reads, enhancing structural variant detection and pangenome construction in human and plant datasets.

SIGNAL disentangles biological and technical variation in single-cell data, improving integration across diverse datasets and identifying tissue-specific cell subtypes.

The paper uses scRNA-seq data to identify organs with high ACE2 and TMPRSS2 expression, revealing susceptibility to COVID-19 infection across multiple systems.

This paper uses Mendelian randomization to show that genetically increased serum calcium levels are associated with reduced Alzheimer’s disease risk.