David M. Reif
Orcid: 0000-0001-7815-6767
  According to our database1,
  David M. Reif
  authored at least 17 papers
  between 2003 and 2024.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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    on orcid.org
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    on id.loc.gov
On csauthors.net:
Bibliography
  2024
Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies.
    
  
    PLoS Comput. Biol., 2024
    
  
  2021
Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology.
    
  
    PLoS Comput. Biol., 2021
    
  
  2018
ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models.
    
  
    BMC Bioinform., 2018
    
  
Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi.
    
  
    BioData Min., 2018
    
  
  2013
    PLoS Comput. Biol., 2013
    
  
Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes.
    
  
    BMC Syst. Biol., 2013
    
  
ToxPi GUI: an interactive visualization tool for transparent integration of data from diverse sources of evidence.
    
  
    Bioinform., 2013
    
  
  2012
    Proceedings of the Genetic and Evolutionary Computation Conference, 2012
    
  
  2011
    Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
    
  
  2008
A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance.
    
  
    Proceedings of the Genetic and Evolutionary Computation Conference, 2008
    
  
  2007
    Bioinform., 2007
    
  
Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks.
    
  
    Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007
    
  
  2006
Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types.
    
  
    Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
    
  
Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology.
    
  
    Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
    
  
  2005
    Proceedings of the Biocomputing 2005, 2005
    
  
A statistical comparison of grammatical evolution strategies in the domain of human genetics.
    
  
    Proceedings of the IEEE Congress on Evolutionary Computation, 2005
    
  
  2003
    Proceedings of the Genetic and Evolutionary Computation, 2003