David M. Reif

Publication Activity (10 Years)

Years Active: 2003-2021
Publications (10 Years): 3

Top Topics

Visualization Tools

Imputation Methods

Gene Expression

Top Venues

PLoS Comput. Biol.

GECCO (Companion)

Publications

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)
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) (2018)
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) (2018)
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 (2013)
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)
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) (2013)
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)
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)
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)
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) (2007)
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)
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)
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)
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)
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)
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)
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)