Juw Won Park

The paper analyzes gene expression and alternative splicing in MS using RNA-seq data to identify differentially expressed genes, spliced transcripts, and SNVs associated with disease pathways and potential therapeutic targets.

The paper introduces miRinGO, an R Shiny application that improves miRNA-GO term association prediction by considering indirectly targeted genes, outperforming existing methods.

The paper identifies ESRP1's genome-wide binding sites and shows its role in splicing regulation and post-transcriptional functions in epithelial cells.