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Association Rule Discovery Has the Ability to Model Complex Genetic Effects., , and . CIDM, page 624-629. IEEE, (2007)ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci., , and . BioData Min., (2010)Knowledge-driven genomic interactions: an application in ovarian cancer., , , , , and . BioData Min., (2014)ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network., , , and . BioData Min., (2013)The effects of linkage disequilibrium in large scale SNP datasets for MDR., , and . BioData Min., (2011)Neural networks for genetic epidemiology: past, present, and future., and . BioData Min., (2008)Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies., , , , , , , and . PSB, page 296-307. (2019)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)ATHENA: the analysis tool for heritable and environmental network associations., , , , and . Bioinform., 30 (5): 698-705 (2014)