Postdoctoral Fellow - Center for Childhood Cancer Research, Children's Hospital of Philadelphia
Postdoctoral Fellow - Department of Statistics, Seoul National University
PhD in Statistics - Chonnam National University, South Korea (Statistics)
MS in Computational Mathematics - University of Science and Technology of China, China
Research Assistant Professor
Professor in Oncology, Perelman School of Medicine at the University of Pennsylvania
Chen, G. M., Chen, C., Das, R. K., Gao, P., ..., Yu, W., ... & Tan, K. : Integrative bulk and single-cell profiling of pre-manufacture T-cell populations reveals factors mediating long-term persistence of CAR T-cell therapy. Cancer Discovery Page: doi: 10.1158, Apr 2021 Notes: epub ahead of print.
Yu, W., Uzun, Y., Zhu, Q., Chen, C., & Tan, K.: scATAC-pro: a comprehensive workbench for single-cell chromatin accessibility sequencing data. Genome Biology 21(94): doi: 10.1186, Apr 2020 Notes: online pub.
Zhu, Q., Gao, P., ..., Yu, W., ... & Tan, K.: Developmental trajectory of prehematopoietic stem cell formation from endothelium. Blood 136(7): 845-856, 2020.
Chen, C., Yu, W., Tober, J., Gao, P., He, B., Lee, K., ... & Tan, K. : Spatial genome re-organization between fetal and adult hematopoietic stem cells. Cell Reports 29(12): 4200-4211, 2019 Notes: Co-first author.
Lee, S., Son, D., Kim, Y., Yu, W., & Park, T.: Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype. BigData Mining 11(27): doi: 10.1186, Dec 2018 Notes: online pub.
Yu, W., Kim, J. K., & Park, T. : Estimation of Area Under the ROC Curve under nonignorable verification bias. Statistica Sinica 28(4): 2149-2166, 2018.
Yu, W., He, B., & Tan, K.: Identifying topologically associating domains and subdomains by Gaussian mixture model and proportion test. Nature communications 8(535): 535, Sep 2017.
Lee, S., Son, D., Yu, W., & Park, T.: Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method. Genomics & Informatics 14(4): 166-172, 2016.
Yu, W., Lee, S., & Park, T.: A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactions. Bioinformatics 32(17): i605-i610, 2016.
Wang, X., Yu, W., & Zheng, L.: The dynamics of NF-κB pathway regulated by circadian clock. Mathematical Bioscience 260: 47-53, 2015.
Yu, W., & Park, T.: Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve. Computational Statistics & Data Analysis 88: 15-27, 2015.
Yu, W., Kwon, M.S., & Park. T.: Multivariate quantitative multifactor dimensionality reduction for detecting gene-gene interactions. Human heredity 79(3-4): 168-181, 2015.
Yu, W., Park, E., & Chang, Y. C. I.: Comparison of paired ROC curves through a two-stage test. Journal of biopharmaceutical statistics 25(5): 881-902, 2015.
Shi, F., Yu, W., & Wang, X.: Bistable Switch in let-7 miRNA Biogenesis Pathway Involving Lin28. International Journal of Molecular Science 15(10): 19119-33, 2014.
Yu, W., & Park, T.: AucPR: An AUC-based approach using penalized regression for disease prediction with high-dimensional omics data. BMC genomics 15(S1): doi: 10.1186, 2014 Notes: online pub.
Yu, W., Ivan Chang, Y. C., & Park, E.: A modified area under the ROC curve and its application to marker selection and classification. Journal of the Korean Statistical Society 43(2): 161-175, 2014.
2020-present, Human Tumor Atlas Network