Yanxun Xu

KM-GPT automatically reconstructs individual patient data from Kaplan-Meier plots with high accuracy, enabling scalable and reproducible evidence synthesis in clinical research.

This study characterizes mitochondrial genomes in 2,700 cancer patients across 37 types using whole-genome sequencing and RNA-seq, revealing mutational patterns, truncating mutations, and nuclear transfer of mitochondrial DNA.

BayCount infers tumor subclones from RNA-Seq counts by accounting for over-dispersion and provides biologically meaningful results without normalization.

This paper reviews matrix factorization applications for systems-level omics analysis, highlighting their ability to uncover biological knowledge from high-dimensional data.

TCGA-Assembler 2 retrieves and integrates TCGA and CPTAC data, improving functionality for researchers.