Hai Chen

This study links germline variation to tumor evolutionary dynamics in multiple myeloma, identifying TBKBP1 as a mediator of subclonal expansion and clinical outcomes.

This study identifies protein domains under positive selection in tumor genomes, revealing convergent evolution in core cellular processes and regulatory functions.

TEATIME estimates evolutionary parameters and fitness diversity from bulk sequencing data, revealing patterns of intratumor heterogeneity across 33 cancer types.

DeepCORE identifies co-operative regulatory elements by modeling genetic, epigenetic, and transcriptional patterns across 25 cell lines, outperforming existing methods and providing interpretable insights.

The paper adapts a human cancer driver gene detection model to mice using transfer learning, identifying 24 driver genes in mouse breast cancer exomes.