Xiaoqing Yu

This study identifies FRA1 as a driver of melanoma metastasis and shows that targeting its downstream genes AXL, CDK6, and FSCN1 suppresses metastasis and improves survival.

GPS-Net identifies prognostic pathway modules using network regularized kernel learning to improve biomarker accuracy and reduce computational complexity in cancer immunotherapy studies.

CGPA provides a platform for multi-context gene-centric prognostic analysis, enabling customized exploration of gene relationships and biomarker discovery in cancer research.

This paper analyzes 11,473 tumor samples across 33 cancer types to study gamma delta T cell receptor diversity and its prognostic potential, revealing its significance as a biomarker and therapeutic target.