Chenyang Li

GASPS develops a statistical framework to define genomic aberration-driven signatures and predict patient outcomes in lung cancer using transcriptomic data.

This study uses a pig model to assess long-term post-concussion brain changes using volumetric and diffusion tensor imaging after mild traumatic brain injury.

The paper develops TimiGP-Response to analyze the tumor immune microenvironment's association with immunotherapy response across multiple cancer types and identifies key immune cell interactions linked to treatment outcomes.

TimiGP infers functional interactions between immune cells in the tumor microenvironment and identifies their prognostic value using bulk gene expression and survival data.