Suet‐Feung Chin

This study shows chemotherapy reshapes clonal architecture in breast cancer xenografts by selecting for chemotherapy-resistant clones and stress response programs.

CopyClust improves breast cancer subtype classification using DNA copy number data alone, achieving higher accuracy than existing methods.

This study uses ctDNA from metastatic breast cancer patients and a Bayesian model to predict treatment response and progression-free survival, outperforming alternative methods.

The paper identifies risk alleles at the 17q22 locus associated with breast cancer by analyzing allelic expression ratios in case-control studies.

A personalized ctDNA test achieves high accuracy for residual disease detection after neoadjuvant therapy in breast cancer.

The paper presents HuRI, a comprehensive human protein-protein interaction map, and demonstrates its utility in understanding cellular function and disease mechanisms.

NG-TAS is a cost-effective method for profiling ctDNA mutations in cancer patients, showing consistent detection of mutations at >1% allele fraction.

This study demonstrates that shallow whole genome sequencing (sWGS) can robustly profile copy number alterations in FFPE breast cancer tissues, even with low-quality DNA.