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Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit.

, , , , , , , , , , , and . Pacific Symposium on Biocomputing, page 147-158. World Scientific Publishing, (2013)

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Evaluating Performance and Agreement of Coronary Heart Disease Polygenic Risk Scores, , , , , , , , , and 33 other author(s). (2024)Comparison of Neural Network Optimization Approaches for Studies of Human Genetics., , , and . EvoWorkshops, volume 3907 of Lecture Notes in Computer Science, page 103-114. Springer, (2006)Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction., , and . PPSN (1), volume 6238 of Lecture Notes in Computer Science, page 394-403. Springer, (2010)Association Rule Discovery Has the Ability to Model Complex Genetic Effects., , and . CIDM, page 624-629. IEEE, (2007)ATHENA: A Tool for Meta-Dimensional Analysis Applied to Genotypes and Gene Expression Data to Predict HDL Cholesterol Levels., , , , , and . Pacific Symposium on Biocomputing, page 385-396. World Scientific Publishing, (2013)Identifying Genetic Associations with Variability in Metabolic Health and Blood Count Laboratory Values: Diving into the Quantitative Traits by Leveraging Longitudinal Data from an EHR., , , , , , , , , and 5 other author(s). PSB, page 533-544. (2017)Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies., , , , , , , and . PSB, page 296-307. (2019)The effects of linkage disequilibrium in large scale SNP datasets for MDR., , and . BioData Min., (2011)Methods of integrating data to uncover genotype--phenotype interactions, , , , and . Nature Reviews Genetics, 16 (2): 85--97 (2015)Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network., , , , , , , , , and 14 other author(s). PSB, page 272-283. (2019)