2009 | ||
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23 | EE | Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 7th European Conference, EvoBIO 2009, Tübingen, Germany, April 15-17, 2009, Proceedings Springer 2009 |
22 | EE | Stephen D. Turner, Marylyn D. Ritchie, William S. Bush: Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks. EvoBIO 2009: 80-91 |
2008 | ||
21 | EE | Todd L. Edwards, William S. Bush, Stephen D. Turner, Scott M. Dudek, Eric S. Torstenson, Mike Schmidt, Eden Martin, Marylyn D. Ritchie: Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA. EvoBIO 2008: 24-35 |
20 | EE | 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 | ||
19 | EE | 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 |
18 | EE | William S. Bush, Tricia A. Thornton-Wells, Marylyn D. Ritchie: Association Rule Discovery Has the Ability to Model Complex Genetic Effects. CIDM 2007: 624-629 |
17 | EE | 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. Appl. Soft Comput. 7(1): 471-479 (2007) |
2006 | ||
16 | EE | 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 |
15 | EE | Alison A. Motsinger, Scott M. Dudek, Lance W. Hahn, Marylyn D. Ritchie: Comparison of Neural Network Optimization Approaches for Studies of Human Genetics. EvoWorkshops 2006: 103-114 |
14 | EE | 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. GECCO 2006: 947-948 |
13 | EE | 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. Pacific Symposium on Biocomputing 2006: 499-510 |
12 | EE | Michelle W. Carrillo, Russell A. Wilke, Marylyn D. Ritchie: Session Introduction. Pacific Symposium on Biocomputing 2006: 544-546 |
11 | EE | 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. Pacific Symposium on Biocomputing 2006: 584-595 |
10 | EE | 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. BMC Bioinformatics 7: 39 (2006) |
9 | EE | William S. Bush, Scott M. Dudek, Marylyn D. Ritchie: Parallel multifactor dimensionality reduction: a tool for the large-scale analysis of gene-gene interactions. Bioinformatics 22(17): 2173-2174 (2006) |
2005 | ||
8 | EE | 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?. EvoWorkshops 2005: 44-53 |
7 | EE | Marylyn D. Ritchie, Michelle W. Carrillo, Russell A. Wilke: Session Introduction: Computational Approaches for Pharmacogenomics. Pacific Symposium on Biocomputing 2005 |
2004 | ||
6 | EE | Marylyn D. Ritchie, Christopher S. Coffey, Jason H. Moore: Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics. GECCO (1) 2004: 438-448 |
5 | EE | Jason H. Moore, Lance W. Hahn, Marylyn D. Ritchie, Tricia A. Thornton, Bill C. White: Routine discovery of complex genetic models using genetic algorithms. Appl. Soft Comput. 4(1): 79-86 (2004) |
4 | EE | Christopher S. Coffey, Patricia R. Hebert, Marylyn D. Ritchie, Harlan M. Krumholz, J. Michael Gaziano, Paul M. Ridker, Nancy J. Brown, Douglas E. Vaughan, Jason H. Moore: An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation. BMC Bioinformatics 5: 49 (2004) |
2003 | ||
3 | EE | Marylyn D. Ritchie, Bill C. White, Joel S. Parker, Lance W. Hahn, Jason H. Moore: Optimizationof neural network architecture using genetic programming improvesdetection and modeling of gene-gene interactions in studies of humandiseases. BMC Bioinformatics 4: 28 (2003) |
2 | Lance W. Hahn, Marylyn D. Ritchie, Jason H. Moore: Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. Bioinformatics 19(3): 376-382 (2003) | |
2002 | ||
1 | Jason H. Moore, Lance W. Hahn, Marylyn D. Ritchie, Tricia A. Thornton, Bill C. White: Application Of Genetic Algorithms To The Discovery Of Complex Models For Simulation Studies In Human Genetics. GECCO 2002: 1150-1155 |