Vincent Huang

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

Genome in a Bottle benchmark of 12745 sequence-resolved insertions and deletions of 50 bp or more, integrating 19 calling methods, scores false negatives and false positives alike.

The paper benchmarks somatic structural variant detection methods using synthetic tumors and crowd-sourced submissions, finding that ensembles do not always outperform individual methods.

The paper evaluates machine-learning ensembles of preprocessing methods to improve survival prediction in early breast cancer using hypoxia signatures.