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Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression., , , , , , and . PSB, page 448-459. (2018)Neural network-based multiomics data integration in Alzheimer's disease., , , and . GECCO (Companion), page 403-404. ACM, (2019)Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR)., , , , , , , , , and 9 other author(s). BioData Min., (2015)A simulation study investigating power estimates in phenome-wide association studies., , , , , , and . BMC Bioinformatics, 19 (1): 120:1-120:8 (2018)Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies., , , , , , , and . PSB, page 296-307. (2019)Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals., , , , , , , , , and 42 other author(s). BioData Min., 10 (1): 25:1-25:20 (2017)Session Introduction., , , , , , , , and . Pacific Symposium on Biocomputing, page 156-160. (2015)Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit., , , , , , , , , and 2 other author(s). Pacific Symposium on Biocomputing, page 147-158. World Scientific Publishing, (2013)Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma., , , , , and . JAMIA, 24 (3): 577-587 (2017)Benefits of Accurate Imputations in GWAS., , , , , , and . EvoApplications, volume 8602 of Lecture Notes in Computer Science, page 877-889. Springer, (2014)