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David M. Reif
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2020 – today
- 2021
- [j7]Adrian J. Green, Martin J. Mohlenkamp, Jhuma Das, Meenal Chaudhari, Lisa Truong, Robyn L. Tanguay, David M. Reif:
Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology. PLoS Comput. Biol. 17(7) (2021)
2010 – 2019
- 2018
- [j6]Kimberly To, Rebecca C. Fry, David M. Reif:
Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi. BioData Min. 11(1): 10:1-10:12 (2018) - [j5]Skylar W. Marvel, Kimberly To, Fabian A. Grimm, Fred A. Wright, Ivan Rusyn, David M. Reif:
ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models. BMC Bioinform. 19(1): 80:1-80:7 (2018) - 2013
- [j4]David M. Reif, Myroslav Sypa, Eric F. Lock, Fred A. Wright, Ander Wilson, Tommy Cathey, Richard S. Judson, Ivan Rusyn:
ToxPi GUI: an interactive visualization tool for transparent integration of data from diverse sources of evidence. Bioinform. 29(3): 402-403 (2013) - [j3]ClarLynda R. Williams-DeVane, David M. Reif, Elaine Cohen Hubal, Pierre R. Bushel, Edward E. Hudgens, Jane E. Gallagher, Stephen W. Edwards:
Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes. BMC Syst. Biol. 7: 119 (2013) - [j2]Nicole C. Kleinstreuer, David Dix, Michael Rountree, Nancy Baker, Nisha Sipes, David M. Reif, Richard Spencer, Thomas Knudsen:
A Computational Model Predicting Disruption of Blood Vessel Development. PLoS Comput. Biol. 9(4) (2013) - 2012
- [c10]Kristopher Hoover, Rachel Marceau, Tyndall Harris, David M. Reif, Alison A. Motsinger-Reif:
A comparison of GE optimized neural networks and decision trees. GECCO (Companion) 2012: 611-614 - 2011
- [c9]Kristopher Hoover, Rachel Marceau, Tyndall Harris, Nicholas E. Hardison, David M. Reif, Alison A. Motsinger-Reif:
Optimization of grammatical evolution decision trees. GECCO (Companion) 2011: 35-36
2000 – 2009
- 2008
- [c8]Nicholas E. Hardison, Theresa J. Fanelli, Scott M. Dudek, David M. Reif, Marylyn D. Ritchie, Alison A. Motsinger-Reif:
A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance. GECCO 2008: 353-354 - 2007
- [j1]Brett A. McKinney, David M. Reif, Bill C. White, James E. Crowe Jr., Jason H. Moore:
Evaporative cooling feature selection for genotypic data involving interactions. Bioinform. 23(16): 2113-2120 (2007) - [c7]Alison A. Motsinger, David M. Reif, Theresa J. Fanelli, Anna C. Davis, Marylyn D. Ritchie:
Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. CIBCB 2007: 1-8 - 2006
- [c6]Alison A. Motsinger, David M. Reif, Scott M. Dudek, Marylyn D. Ritchie:
Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology. CIBCB 2006: 1-8 - [c5]David M. Reif, Alison A. Motsinger, Brett A. McKinney, James E. Crowe Jr., Jason H. Moore:
Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types. CIBCB 2006: 1-8 - 2005
- [c4]Bill C. White, David M. Reif, Joshua C. Gilbert, Jason H. Moore:
A statistical comparison of grammatical evolution strategies in the domain of human genetics. Congress on Evolutionary Computation 2005: 491-497 - [c3]Bill C. White, David M. Reif, Joshua C. Gilbert, Jason H. Moore:
A statistical comparison of grammatical evolution strategies in the domain of human genetics. Congress on Evolutionary Computation 2005: 676-682 - [c2]David M. Reif, Scott M. Dudek, Christian M. Shaffer, Janey Wang, Jason H. Moore:
Exploratory Visual Analysis of Pharmacogenomic Results. Pacific Symposium on Biocomputing 2005 - 2003
- [c1]David M. Reif, Bill C. White, Nancy Olsen, Thomas M. Aune, Jason H. Moore:
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data. GECCO 2003: 2277-2287
Coauthor Index
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