My research interests include statistical genetics, high-throughput epigenomic functional annotations, smoothing spline, big data, functional/longitudinal data analysis, biomedical data analysis, and machine learning.
[5] Danqing Xu, Chen Wang, Krzysztof Kiryluk, Joseph D. Buxbaum, Iuliana Ionita-Laza, Co-localization between Sequence Constraint and Epigenomic Information Improves Interpretation of Whole Genome Sequencing Data, The American Journal of Human Genetics 106 (4), 513-524, 2020. Co-localization webpage: http://www.funlda.com/colocalization.
[4] Danqing Xu and Yuedong Wang, Low Rank Approximation for Smoothing Spline via Eigensystem Truncation, preprint: https://arxiv.org/abs/1911.10434, 2019.
[3] Dugan W. Maddux, Len A. Usvyat, Danqing Xu, Yuedong Wang, Peter Kotanko, Frank M. van der Sande, Jeroen P. Kooman, Franklin W. Maddux, The Association of Weekly Hemodialysis Pre-systolic Blood Pressure and Following Week Mortality, Kidney & Blood Pressure Research: 43(1):88-97, 2018.
[2] Danqing Xu and Yuedong Wang, Divide and Recombine Approaches for Fitting Smoothing Spline Models with Large Datasets, Journal of Computational and Graphical Statistics. Advance online publication. doi: 10.1080/10618600.2017.1402775, 2017.
[1] Dugan Maddux, Danqing Xu, Len A. Usvyat, Frank M. van der Sande, Peter Kotanko, Yuedong Wang, Jeroen P. Kooman, Franklin W. Maddux; FP622 Novel Methods of Presenting Blood Pressure Patterns in Hemodialysis Patients, Nephrology Dialysis Transplantation, 30(suppl_3), iii280, 2015.