Scott M. Dudek
Affiliations: | Center for Human Genetics Research, Departments of Molecular Physiology & Biophysics and Biomedical Informatics | Vanderbilt University, Nashville, TN |
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"Scott Dudek"
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| Singhal P, Veturi Y, Dudek SM, et al. (2023) Evidence of epistasis in regions of long-range linkage disequilibrium across five complex diseases in the UK Biobank and eMERGE datasets. American Journal of Human Genetics. 110: 575-591 |
| Pendergrass SA, Buyske S, Jeff JM, et al. (2019) A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans. Plos One. 14: e0226771 |
| Li R, Kim D, Wheeler HE, et al. (2018) Integration of genetic and functional genomics data to uncover chemotherapeutic induced cytotoxicity. The Pharmacogenomics Journal |
| Verma SS, Lucas A, Zhang X, et al. (2018) Collective feature selection to identify crucial epistatic variants. Biodata Mining. 11: 5 |
| Verma A, Bradford Y, Dudek S, et al. (2018) A simulation study investigating power estimates in phenome-wide association studies. Bmc Bioinformatics. 19: 120 |
| Hall MA, Wallace J, Lucas A, et al. (2017) PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies. Nature Communications. 8: 1167 |
| Holzinger ER, Verma SS, Moore CB, et al. (2017) Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. Biodata Mining. 10: 25 |
| Kim D, Li R, Lucas A, et al. (2016) Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. Journal of the American Medical Informatics Association : Jamia |
| Li R, Dudek SM, Kim D, et al. (2016) Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. Biodata Mining. 9: 18 |
| Butkiewicz M, Cooke Bailey JN, Frase A, et al. (2016) Pathway analysis by randomization incorporating structure-PARIS: an update. Bioinformatics (Oxford, England) |