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Welcome
to Lee Lab
for Statistical Genetics and Data Science
Our group develops statistical and computational methods for genetics/genomics data analysis and precision health, while leveraging multimodal data (images, videos, EHR data) for biomedical deep learning research and advancing drug discovery.
News
Jun 2024
Journal of the American Medical Informatics Association
To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice
Mar 2024
Scientific Reports
The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population
Feb 2024
BMC bioinformatics
Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction
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