Xiaoyi Liu

This study identifies cancer-like fragmentomic traits in somatic variants of cfDNA, enabling cancer diagnosis through integrative genomic and fragmentomic analysis using AI models.

This study identifies cfDNA fragmentomic features in transposon elements as biomarkers for cancer diagnosis, showing improved performance over genome-wide measurements.

The paper introduces a chemical-induced reversible gene knockout system (CIRKO) that allows for controlled inactivation and reactivation of genes in primary cells and animal models.