Yingtao Bi

This study uses proteomics to show that aging, sex, and region affect lung ECM remodeling, with age being the main factor and females showing more pronounced changes.

This paper introduces JECCA, a method for identifying shared biological signals across gene expression datasets, enabling disease subtyping, biomarker discovery, and cross-species analysis.

This study benchmarks scRNA-seq reproducibility across platforms and pipelines, finding that batch correction methods significantly affect results.

This paper performs a large-scale eQTL meta-analysis across cerebral cortical and cerebellar brain regions, identifying distinct eQTL patterns and demonstrating improved power over existing studies.