Stephen S. F. Yip

This study evaluates Parent-of-Origin-Aware genomic analysis (POAga) to improve cascade testing in pancreatic cancer families by clarifying familial risk.

This paper presents a long-read sequencing dataset of cancer samples, showing its ability to resolve structural variants, haplotypes, and methylation patterns in precision medicine.

PORI is an open-source platform for interpreting somatic variants in cancer, demonstrating that 88.2% of TCGA tumors have at least one potentially targetable alteration.

This study uses GANs to synthesize high-resolution cancer pathology images, showing they are visually indistinguishable from real images and perform as well as real images in diagnostic tasks.