고차원데이터분석
신선영교수
전공분야
기계학습, 고차원 데이터 분석, 유전 통계학
대표 논문 및 프로젝트
- M, Joseph, Q, Li, & S, Shin. Health diagnosis associated with COVID-19 death in the United States: A retrospective cohort study using electronic health records. PLOS One, 20 (3), e0319585 (2025). https://doi.org/10.1371/journal.pone.0319585
- Zhou, Q., Zuo, C., Zhang, Y., Chen, M., Xu, J. & Shin, S. Scalable test of statistical significance for protein-DNA binding changes with insertion and deletion of bases in the genome. The Annals of Applied Statistics, 18(4), 3528-3548 (2024). https://doi
- Shin, S., Liu, Y., Cole, S.R. & Fine, J.P. Ensemble estimation and variable selection with semiparametric regression models. Biometrika, 107(2), 433-448 (2020). https://doi.org/10.1093/biomet/asaa012
- Shin, S., Hudson, R., Harrison, C., Craven, M. & Keles, S. atSNP Search: a web resource for statistically evaluating influence of human genetic variation on transcription factor binding. Bioinformatics, 35(15), 2657-2659 (2019). https://doi.org/10.1093/b
- Shin, S., Fine, J.P., & Liu, Y. Adaptive estimation with partially overlapping models. Statistica Sinica, 26(1), 235-253 (2016). https://doi.org/10.5705/ss.2014.233