Tzu‐Pin Lu

This paper introduces a transfer learning framework with false negative control to improve polygenic risk prediction across heterogeneous datasets.

This study examines how variations in ACE2 and TMPRSS2 genes influence COVID-19 infection and disease progression through multi-omics analysis of SNPs, structural variations, and gene expression patterns.

CONCUR improves power in rare CNV analysis by comparing copy number profiles without requiring locus definitions.

RNASeqR provides an automated RNA-Seq analysis workflow in R, enabling six-step processing and visualization for comparative transcriptomic studies.