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Alison A. Motsinger: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. William S. Bush, Alison A. Motsinger, Scott M. Dudek, Marylyn D. Ritchie
    Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2005, pp:44-53 [Conf]
  2. Alison A. Motsinger, Scott M. Dudek, Lance W. Hahn, Marylyn D. Ritchie
    Comparison of Neural Network Optimization Approaches for Studies of Human Genetics. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2006, pp:103-114 [Conf]
  3. Alison A. Motsinger, Lance W. Hahn, Scott M. Dudek, Kelli K. Ryckman, Marylyn D. Ritchie
    Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:947-948 [Conf]
  4. Scott M. Dudek, Alison A. Motsinger, Digna R. Velez, Scott M. Williams, Marylyn D. Ritchie
    Data Simulation Software for Whole-Genome Association and Other Studies in Human Genetics. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2006, pp:499-510 [Conf]
  5. Alison A. Motsinger, Brian S. Donahue, Nancy J. Brown, Dan M. Roden, Marylyn D. Ritchie
    Risk Factor Interactions and Genetic Effects Associated with Post-Operative Atrial Fibrillation. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2006, pp:584-595 [Conf]
  6. Marylyn D. Ritchie, Alison A. Motsinger, William S. Bush, Christopher S. Coffey, Jason H. Moore
    Genetic programming neural networks: A powerful bioinformatics tool for human genetics. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2007, v:7, n:1, pp:471-479 [Journal]
  7. Alison A. Motsinger, Stephen L. Lee, George Mellick, Marylyn D. Ritchie
    GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:39- [Journal]

  8. Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types. [Citation Graph (, )][DBLP]


  9. Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology. [Citation Graph (, )][DBLP]


  10. Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. [Citation Graph (, )][DBLP]


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