Peixin Tian

CoxMDS identifies causal mediators in DNA methylation studies with survival outcomes, maintaining FDR control and higher power than existing methods.

Grace-AKO improves variable selection in high-dimensional genomic data by integrating gene network structures, achieving better finite-sample FDR control and model stability.

CoxMKF identifies DNA methylation CpG sites mediating environmental exposure effects on survival outcomes while controlling FDR in high-dimensional settings.

This paper introduces TL-Multi, a transfer learning method to improve polygenic risk prediction in non-European populations using European GWAS data, achieving better accuracy than existing methods in SLE and asthma risk prediction.