Yu-Jia Shiah

This study maps epigenomic heterogeneity in prostate cancer by analyzing 3,001 methylomes and identifies four subtypes with distinct clinical and molecular features.

This study examines telomere length in prostate cancer, finding associations with genomic instability and clinical outcomes.

This study uses a crowdsourcing approach to stratify ALS patients, identifying four distinct clusters with unique predictors and improving outcome prediction.

BPG is an R package that generates publication-quality, customizable plots and offers an interactive web tool for figure customization and integration with computational pipelines.

This study introduces a machine learning method to infer mutation signatures from both single nucleotide and structural variations in DNA repair deficient cancers, identifying new age-related and HRD-associated signatures in breast and ovarian cancers.