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Scott M. Dudek
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2010 – 2019
- 2019
- [c23]Pankhuri Singhal, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie:
Neural network-based multiomics data integration in Alzheimer's disease. GECCO (Companion) 2019: 403-404 - 2018
- [j17]Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott M. Dudek, Binglan Li, Ruowang Li, Ryan J. Urbanowicz, Jason H. Moore, Dokyoon Kim, Marylyn D. Ritchie:
Collective feature selection to identify crucial epistatic variants. BioData Min. 11(1): 5:1-5:22 (2018) - [j16]Anurag Verma, Yukiko Bradford, Scott M. Dudek, Anastasia Lucas, Shefali S. Verma, Sarah A. Pendergrass, Marylyn D. Ritchie:
A simulation study investigating power estimates in phenome-wide association studies. BMC Bioinform. 19(1): 120:1-120:8 (2018) - 2017
- [j15]Emily Rose Holzinger, Shefali S. Verma, Carrie Colleen Buchanan Moore, Molly A. Hall, Rishika De, Diane Gilbert-Diamond, Matthew B. Lanktree, Nathan Pankratz, Antoinette Amuzu, Amber Burt, Caroline Dale, Scott M. Dudek, Clement E. Furlong, Tom R. Gaunt, Daniel Seung Kim, Helene Riess, Suthesh Sivapalaratnam, Vinicius Tragante, Erik P. A. van Iperen, Ariel Brautbar, David S. Carrell, David R. Crosslin, Gail P. Jarvik, Helena Kuivaniemi, Iftikhar J. Kullo, Eric B. Larson, Laura J. Rasmussen-Torvik, Gerard Tromp, Jens Baumert, Karen J. Cruickshanks, Martin Farrall, Aroon D. Hingorani, G. K. Hovingh, Marcus E. Kleber, Barbara E. Klein, Ronald Klein, Wolfgang Koenig, Leslie A. Lange, Winfried März, Kari E. North, N. Charlotte Onland-Moret, Alex P. Reiner, Philippa J. Talmud, Yvonne T. van der Schouw, James G. Wilson, Mika Kivimäki, Meena Kumari, Jason H. Moore, Fotios Drenos, Folkert W. Asselbergs, Brendan J. Keating, Marylyn D. Ritchie:
Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 10(1): 25:1-25:20 (2017) - [j14]Dokyoon Kim, Ruowang Li, Anastasia Lucas, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie:
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. J. Am. Medical Informatics Assoc. 24(3): 577-587 (2017) - 2016
- [j13]Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yukiko Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao, Marylyn D. Ritchie:
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. BioData Min. 9: 18 (2016) - [j12]Mariusz Butkiewicz, Jessica Cooke Bailey, Alex T. Frase, Scott M. Dudek, Brian L. Yaspan, Marylyn D. Ritchie, Sarah A. Pendergrass, Jonathan L. Haines:
Pathway analysis by randomization incorporating structure - PARIS: an update. Bioinform. 32(15): 2361-2363 (2016) - [c22]Anurag Verma, Joseph B. Leader, Shefali S. Verma, Alex T. Frase, John R. Wallace, Scott M. Dudek, Daniel R. Lavage, Cristopher V. Van Hout, Frederick E. Dewey, John Penn, Alexander E. Lopez, John D. Overton, David J. Carey, David H. Ledbetter, H. Lester Kirchner, Marylyn D. Ritchie, Sarah A. Pendergrass:
Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies. PSB 2016: 168-179 - 2015
- [j11]Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie:
Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer. J. Biomed. Informatics 56: 220-228 (2015) - [c21]Dokyoon Kim, Ruowang Li, Scott M. Dudek, John R. Wallace, Marylyn D. Ritchie:
Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma. Pacific Symposium on Biocomputing 2015: 96-107 - 2014
- [j10]Do Kyoon Kim, Ruowang Li, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie:
Knowledge-driven genomic interactions: an application in ovarian cancer. BioData Min. 7: 20 (2014) - [j9]Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie:
ATHENA: the analysis tool for heritable and environmental network associations. Bioinform. 30(5): 698-705 (2014) - [c20]Ruowang Li, Do Kyoon Kim, Scott M. Dudek, Marylyn D. Ritchie:
An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations. EvoApplications 2014: 928-938 - 2013
- [j8]Daniel Wolfe, Scott M. Dudek, Marylyn D. Ritchie, Sarah A. Pendergrass:
Visualizing genomic information across chromosomes with PhenoGram. BioData Min. 6: 18 (2013) - [j7]Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie:
ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network. BioData Min. 6: 23 (2013) - [c19]Ruowang Li, Emily Rose Holzinger, Scott M. Dudek, Marylyn D. Ritchie:
Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis. GPTP 2013: 211-224 - [c18]Sarah A. Pendergrass, Shefali S. Verma, Emily Rose Holzinger, Carrie Moore, John R. Wallace, Scott M. Dudek, Wayne Huggins, Terrie E. Kitchner, Carol Waudby, Richard L. Berg, Catherine A. McCarty, Marylyn D. Ritchie:
Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit. Pacific Symposium on Biocomputing 2013: 147-158 - [c17]Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Ronald M. Krauss, Marisa Wong Medina, Marylyn D. Ritchie:
ATHENA: A Tool for Meta-Dimensional Analysis Applied to Genotypes and Gene Expression Data to Predict HDL Cholesterol Levels. Pacific Symposium on Biocomputing 2013: 385-396 - 2012
- [j6]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 Min. 5: 5 (2012) - [c16]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 - 2011
- [c15]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 - [c14]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 - 2010
- [j5]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 Min. 3: 5 (2010) - [j4]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 Min. 3: 10 (2010) - [j3]William S. Bush, Scott M. Dudek, Marylyn D. Ritchie:
Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus. Bioinform. 26(4): 578-579 (2010) - [c13]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 - [c12]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 - [c11]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 - [c10]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
2000 – 2009
- 2009
- [c9]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 - 2008
- [j2]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 Bioinform. 9 (2008) - [c8]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 - [c7]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 - 2006
- [j1]William S. Bush, Scott M. Dudek, Marylyn D. Ritchie:
Parallel multifactor dimensionality reduction: a tool for the large-scale analysis of gene-gene interactions. Bioinform. 22(17): 2173-2174 (2006) - [c6]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 - [c5]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 - [c4]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 - [c3]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 - 2005
- [c2]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 - [c1]David M. Reif, Scott M. Dudek, Christian M. Shaffer, Janey Wang, Jason H. Moore:
Exploratory Visual Analysis of Pharmacogenomic Results. Pacific Symposium on Biocomputing 2005
Coauthor Index
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