My research interests include computational methodologies in cancer genomics and immunomics, particularly, how to jointly leverage genomics and immune information to help us better understanding tumor and therapeutic response. I also work closely with YSM community as a statistical consultant.
- Tang, D., Park, S. and Zhao, H., 2019. NITUMID: Nonnegative Matrix Factorization-based Immune-TUmor
MIcroenvironment Deconvolution. Bioinformatics.
- Presley, C., Tang, D., Pamela R S, Cary P Gross., 2018. Broad-Based Genomic Sequencing, Treatment Outcomes, and Survival in Advanced Non-Small Cell Lung Cancer Patients Treated in the Community Setting, The Journal of the American Medical Association
- Wu, P., Li, T., Li, R., Jia, L., Zhu, P., Liu, Y., Chen, Q., Tang, D., Yu, Y. and Li, C., 2017. 3D Genome of Multiple Myeloma Reveals Spatial Genome Disorganization Associated with Copy Number Variations. Nature communications, 8, p.1937.