Yi-Wen Hsiao

The paper evaluates EHR-based phenotyping accuracy in the All of Us Research Program to optimize statistical power for genetic association testing, finding disparities in accuracy across racial groups.

S4-Multi improves polygenic score prediction across diverse ancestries by reducing genetic variants while maintaining accuracy in non-European populations.

This paper develops an RNA base editor using CRISPR-Cas13 and ADAR2DD to correct mutations in inherited retinal diseases, showing up to 60% editing efficiency in vitro and partial rescue in mouse models.

This study characterizes the transcriptomic effects of Cas13bt3 in retinal cells and demonstrates its efficacy in silencing VEGFA mRNA in human retinal organoids and mouse models.

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