Marylyn D. Ritchie

Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie: Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View. BioData Mining 5: 5 (2012)

Carrie C. Buchanan, Eric Torstenson, William S. Bush, Marylyn D. Ritchie: A comparison of cataloged variation between International HapMap Consortium and 1000 Genomes Project data. JAMIA 19(2): 289-294 (2012)

Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Brooke L. Fridley, Prabhakar Chalise, Marylyn D. Ritchie: Comparison of Methods for Meta-dimensional Data Analysis Using in Silico and Biological Data Sets. EvoBIO 2012: 134-143

Carrie C. Buchanan, John R. Wallace, Alex T. Frase, Eric Torstenson, Sarah A. Pendergrass, Marylyn D. Ritchie: A Biologically Informed Method for Detecting Associations with Rare Variants. EvoBIO 2012: 201-210

Thorsten Lehr, Jing Yuan, Dirk Zeumer, Supriya Jayadev, Marylyn D. Ritchie: Rule based classifier for the analysis of gene-gene and gene-environment interactions in genetic association studies. BioData Mining 4: 4 (2011)

Benjamin J. Grady, Eric Torstenson, Marylyn D. Ritchie: The effects of linkage disequilibrium in large scale SNP datasets for MDR. BioData Mining 4: 11 (2011)

Hua Xu, Min Jiang, Matt Oetjens, Erica A. Bowton, Andrea H. Ramirez, Janina M. Jeff, Melissa A. Basford, Jill M. Pulley, James D. Cowan, Xiaoming Wang, Marylyn D. Ritchie, Daniel R. Masys, Dan M. Roden, Dana C. Crawford, Joshua C. Denny: Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin. JAMIA 18(4): 387-391 (2011)

Emily Rose Holzinger, Scott M. Dudek, Eric Torstenson, Marylyn D. Ritchie: ATHENA Optimization: The Effect of Initial Parameter Settings across Different Genetic Models. EvoBio 2011: 48-58

Benjamin J. Grady, Eric Torstenson, Paul J. Mclaren, Paul I. W. de Bakker, David W. Haas, Gregory K. Robbins, Roy M. Gulick, Richard Haubrich, Heather Ribaudo, Marylyn D. Ritchie: Use of Biological Knowledge to Inform The Analysis of Gene-Gene Interactions Involved in Modulating Virologic Failure with Efavirenz-Containing Treatment Regimens in Art-Naive Actg Clinical Trials Participants. Pacific Symposium on Biocomputing 2011: 253-264

Sarah A. Pendergrass, Scott M. Dudek, Dan M. Roden, Dana C. Crawford, Marylyn D. Ritchie: Visual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View. Pacific Symposium on Biocomputing 2011: 265-275

Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini (Eds.): Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011. Proceedings. Lecture Notes in Computer Science 6623, Springer 2011, isbn 978-3-642-20388-6

Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie: ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci. BioData Mining 3: 5 (2010)

Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie: Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis. BioData Mining 3: 10 (2010)

William S. Bush, Scott M. Dudek, Marylyn D. Ritchie: Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus. Bioinformatics 26(4): 578-579 (2010)

Joshua C. Denny, Marylyn D. Ritchie, Melissa A. Basford, Jill M. Pulley, Lisa Bastarache, Kristin Brown-Gentry, Deede Wang, Daniel R. Masys, Dan M. Roden, Dana C. Crawford: PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations. Bioinformatics 26(9): 1205-1210 (2010)

Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie: Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci. EvoBIO 2010: 86-97

Emily Rose Holzinger, Carrie C. Buchanan, Scott M. Dudek, Eric Torstenson, Stephen D. Turner, Marylyn D. Ritchie: Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects. GECCO 2010: 203-210

Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie: Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction. PPSN (1) 2010: 394-403

Benjamin J. Grady, Eric Torstenson, Scott M. Dudek, Justin Giles, David Sexton, Marylyn D. Ritchie: Finding Unique Filter Sets in PLATO: A Precursor to Efficient Interaction Analysis in GWAS Data. Pacific Symposium on Biocomputing 2010: 315-326

Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini (Eds.): Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings. Lecture Notes in Computer Science 6023, Springer 2010, isbn 978-3-642-12210-1

William S. Bush, Guanhua Chen, Eric Torstenson, Marylyn D. Ritchie: LD-Spline: Mapping SNPs on genotyping platforms to genomic regions using patterns of linkage disequilibrium. BioData Mining 2: 7 (2009)

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

William S. Bush, Scott M. Dudek, Marylyn D. Ritchie: Biofilter: A Knowledge-Integration System for the Multi-Locus Analysis of Genome-Wide Association Studies. Pacific Symposium on Biocomputing 2009: 368-379

Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini (Eds.): Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 7th European Conference, EvoBIO 2009, Tübingen, Germany, April 15-17, 2009, Proceedings. Lecture Notes in Computer Science 5483, Springer 2009, isbn 978-3-642-01183-2

Jesús S. Aguilar-Ruiz, Jason H. Moore, Marylyn D. Ritchie: Filling the gap between biology and computer science. BioData Mining 1 (2008)

Alison A. Motsinger-Reif, Marylyn D. Ritchie: Neural networks for genetic epidemiology: past, present, and future. BioData Mining 1 (2008)

William S. Bush, Todd L. Edwards, Scott M. Dudek, Brett A. McKinney, Marylyn D. Ritchie: Alternative contingency table measures improve the power and detection of multifactor dimensionality reduction. BMC Bioinformatics 9 (2008)

Todd L. Edwards, William S. Bush, Stephen D. Turner, Scott M. Dudek, Eric Torstenson, Mike Schmidt, Eden Martin, Marylyn D. Ritchie: Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA. EvoBIO 2008: 24-35

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

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)

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

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

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)

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)

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

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

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

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

Michelle W. Carrillo, Russell A. Wilke, Marylyn D. Ritchie: Session Introduction. Pacific Symposium on Biocomputing 2006: 544-546

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

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

Marylyn D. Ritchie, Michelle W. Carrillo, Russell A. Wilke: Session Introduction: Computational Approaches for Pharmacogenomics. Pacific Symposium on Biocomputing 2005

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)

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)

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

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)

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)

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