2009 |
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 |