Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data. - David M. Reif; Bill C. White; Nancy Olsen; Thomas M. Aune; Jason H. Moore (GECCO, 2003)

A statistical comparison of grammatical evolution strategies in the domain of human genetics. - Bill C. White; David M. Reif; Joshua C. Gilbert; Jason H. Moore (Congress on Evolutionary Computation, 2005)

Exploratory Visual Analysis of Pharmacogenomic Results. - David M. Reif; Scott M. Dudek; Christian M. Shaffer; Janey Wang; Jason H. Moore (Pacific Symposium on Biocomputing, 2005)

Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology. - Alison A. Motsinger; David M. Reif; Scott M. Dudek; Marylyn D. Ritchie (CIBCB, 2006)

Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types. - David M. Reif; Alison A. Motsinger; Brett A. McKinney; James E. Crowe Jr.; Jason H. Moore (CIBCB, 2006)

Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. - Alison A. Motsinger; David M. Reif; Theresa J. Fanelli; Anna C. Davis; Marylyn D. Ritchie (CIBCB, 2007)

Evaporative cooling feature selection for genotypic data involving interactions. - Brett A. McKinney; David M. Reif; Bill C. White; James E. Crowe Jr.; Jason H. Moore (Bioinform., 2007)

A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance. - Nicholas E. Hardison; Theresa J. Fanelli; Scott M. Dudek; David M. Reif; Marylyn D. Ritchie; Alison A. Motsinger-Reif (GECCO, 2008)

Optimization of grammatical evolution decision trees. - Kristopher Hoover; Rachel Marceau; Tyndall Harris; Nicholas E. Hardison; David M. Reif; Alison A. Motsinger-Reif (GECCO (Companion), 2011)

A comparison of GE optimized neural networks and decision trees. - Kristopher Hoover; Rachel Marceau; Tyndall Harris; David M. Reif; Alison A. Motsinger-Reif (GECCO (Companion), 2012)

ToxPi GUI: an interactive visualization tool for transparent integration of data from diverse sources of evidence. - David M. Reif; Myroslav Sypa; Eric F. Lock; Fred A. Wright; Ander Wilson; Tommy Cathey; Richard S. Judson; Ivan Rusyn (Bioinform., 2013)

Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes. - ClarLynda R. Williams-DeVane; David M. Reif; Elaine Cohen Hubal; Pierre R. Bushel; Edward E. Hudgens; Jane E. Gallagher; Stephen W. Edwards (BMC Syst. Biol., 2013)

A Computational Model Predicting Disruption of Blood Vessel Development. - Nicole C. Kleinstreuer; David Dix; Michael Rountree; Nancy Baker 001; Nisha Sipes; David M. Reif; Richard Spencer; Thomas Knudsen (PLoS Comput. Biol., 2013)

Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi. - Kimberly To; Rebecca C. Fry; David M. Reif (BioData Min., 2018)

ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models. - Skylar W. Marvel; Kimberly To; Fabian A. Grimm; Fred A. Wright; Ivan Rusyn; David M. Reif (BMC Bioinform., 2018)

Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology. - Adrian J. Green; Martin J. Mohlenkamp; Jhuma Das; Meenal Chaudhari; Lisa Truong; Robyn L. Tanguay; David M. Reif (PLoS Comput. Biol., 2021)

Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies. - Adrian J. Green; Lisa Truong; Preethi Thunga; Connor Leong; Melody Hancock; Robyn L. Tanguay; David M. Reif (PLoS Comput. Biol., 2024)