Biwei Cao

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.

This paper introduces Xsurv, an R package using XGB and LGB for survival analysis, showing it outperforms traditional methods in biomarker discovery for cancer prognosis.

PDXGEM builds a gene expression model to predict cancer patient responses to anticancer therapies using data from patient-derived xenograft models.