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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. A Practical Guide to Measuring Social Structure Using Indirectly Observed Network Data
5. Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approach
6. Backward Genotype-Trait Association (BGTA)-Based Dissection of Complex Traits in Case-Control Designs
7. Backward Haplotype Transmission Association (BHTA) Algorithm-A Fast Multiple-Marker Screening Method
8. Bayesian hierarchical graph-structured model for pathway analysis using gene expression data
9. Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
10. Considering interactive effects in the identification of influential regions with extremely rare variants via fixed bin approach
11. Constructing gene association networks for rheumatoid arthritis using the backward genotype-trait association (BGTA) algorithm
12. Coping with family structure in genome-wide association studies: a comparative evaluation
13. Correction: A dual clustering framework for association screening with whole genome sequencing data and longitudinal traits
14. Discovering influential variables: A method of partitions
15. Discovering interactions among BRCA1 and other candidate genes associated with sporadic breast cancer
16. Discovering pure gene-environment interactions in blood pressure genome-wide association studies data: a two-step approach incorporating new statistics
17. Fit GFuseTLP penalized conditional logistic regression model for high-dimensional one-to- one matched case-control data
18. Genetic-linkage mapping of complex hereditary disorders to a whole-genome molecular-interaction network
19. Genome-wide gene-based analysis of rheumatoid arthritis-associated interaction with PTPN22 and HLA-DRB1
20. GLMLE: graph-limit enabled fast computation for fitting exponential random graph models to large social networks
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