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2. A dual-clustering framework for association screening with whole genome sequencing data and longitudinal traits
3. A partition-based approach to identify gene-environment interactions in genome wide association studies
4. Considering interactive effects in the identification of influential regions with extremely rare variants via fixed bin approach
5. Correction: A dual clustering framework for association screening with whole genome sequencing data and longitudinal traits
6. Discovering pure gene-environment interactions in blood pressure genome-wide association studies data: a two-step approach incorporating new statistics
7. A Robust Model-free Approach for Rare Variants Association Studies Incorporating Gene-Gene and Gene-Environmental Interactions
8. SPAr package for Fan and Lo (2013) "A robust model-free approach for rare variants association studies incorporating gene-gene and gene-environmental interactions."
9. Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approach
10. Identifying influential regions in extremely rare variants using a fixed-bin approach
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