Ying Chen

The paper identifies cytokine-driven cellular polarization in preeclampsia using single-cell sequencing and machine learning, revealing altered immune cell states and potential therapeutic targets.

This study introduces a method to identify robust gene-phenotype associations by analyzing DNA methylation remodeling in promoter regions, showing improved overlap and biological significance compared to traditional methods.