Tao Wu

This study analyzes CNA signatures in single-cell and bulk samples of hepatocellular carcinoma, revealing masked patterns and potential biomarkers for prognosis and treatment.

This study identifies 14 CNA signatures from pan-cancer WGS and TCGA SNP array data, revealing novel patterns and prognostic implications for cancer patients.

Seq2Neo predicts neoantigen immunogenicity using a CNN model trained on genomic alterations, outperforming existing tools in independent datasets.

This study identifies five copy number signatures in prostate cancer using sigminer, revealing distinct etiologies and improved clinical outcome associations compared to single base substitution signatures.

Sigflow is a pipeline for comprehensive cancer genome mutational signature analysis, supporting multiple DNA alteration types and offering reproducible research through Docker.

This paper critiques a previous study that claimed no neoantigen depletion signal in untreated cancer genomes, arguing that the study's methodology is flawed due to misalignment between defined HLA-binding regions and actual immunogenic neoantigens.