Emily Holzinger, Ph.D.
Affiliations: | Genetics | Vanderbilt University, Nashville, TN |
Area:
http://www.researchprofiles.collexis.com/jad/expert.asp?u_id=95Google:
"Emily Holzinger"Mean distance: 19430.2
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentor| William S. Bush | grad student | Vanderbilt (Computational Biology Tree) | ||
| Marylyn D. Ritchie | grad student | (Computational Biology Tree) | ||
| Jonathan L. Haines | grad student | 2013 | Vanderbilt | |
| (Development, optimization, and application of a meta-dimensional analysis pipeline using in silico and natural data sets.) | ||||
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Publications
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| McDonagh EM, Trynka G, McCarthy M, et al. (2024) Human Genetics and Genomics for Drug Target Identification and Prioritization: Open Targets' Perspective. Annual Review of Biomedical Data Science |
| Shen J, Mehrotra DV, Dorr MB, et al. (2020) Genetic Association Reveals Protection against Recurrence of Infection with Bezlotoxumab Treatment. Msphere. 5 |
| 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 |
| De R, Verma SS, Holzinger E, et al. (2016) Identifying gene-gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts. Human Genetics |
| Ioannidis NM, Rothstein JH, Pejaver V, et al. (2016) REVEL: an Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants. American Journal of Human Genetics |
| Szymczak S, Holzinger E, Dasgupta A, et al. (2016) r2VIM: A new variable selection method for random forests in genome-wide association studies. Biodata Mining. 9: 7 |
| De R, Verma SS, Drenos F, et al. (2015) Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). Biodata Mining. 8: 41 |
| Pendergrass SA, Verma SS, Hall MA, et al. (2015) Next-generation analysis of cataracts: determining knowledge driven gene-gene interactions using biofilter, and gene-environment interactions using the Phenx Toolkit*. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 495-505 |
| Holzinger ER, Szymczak S, Dasgupta A, et al. (2015) Variable selection method for the identification of epistatic models. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 195-206 |
| Ritchie MD, Holzinger ER, Li R, et al. (2015) Methods of integrating data to uncover genotype-phenotype interactions. Nature Reviews. Genetics. 16: 85-97 |