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Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico.

, , , and . BMC Bioinform., 20 (1): 46:1-46:10 (2019)

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Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry., , , , , , , and . BioData Min., (2015)Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG)., , , , , , and . PSB, page 57-68. (2016)Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis., , , and . BioData Min., (2010)Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View., , , and . BioData Min., (2012)Pathway analysis by randomization incorporating structure - PARIS: an update., , , , , , , and . Bioinform., 32 (15): 2361-2363 (2016)Using BioBin to Explore Rare Variant Population Stratification., , , , and . Pacific Symposium on Biocomputing, page 332-343. World Scientific Publishing, (2013)Visual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View., , , , and . Pacific Symposium on Biocomputing, page 265-275. World Scientific Publishing, (2011)Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies., , , , , , , , , and 7 other author(s). PSB, page 168-179. (2016)Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies., , , , , , , , , and 23 other author(s). npj Digit. Medicine, (2021)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)