Marylyn D. Ritchie

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 34

Top Venues

Publications

Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97 (2024)
Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen
Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) (2023)
Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore
Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors. GECCO Companion (2023)
Ken Wiley, Laura Findley, Madison Goldrich, Tejinder K. Rakhra-Burris, Ana Stevens, Pamela Williams, Carol J. Bult, Rex L. Chisholm, Patricia Deverka, Geoffrey S. Ginsburg, Eric D. Green, Gail P. Jarvik, George A. Mensah, Erin Ramos, Mary V. Relling, Dan M. Roden, Robb Rowley, Gil Alterovitz, Samuel J. Aronson, Lisa Bastarache, James J. Cimino, Erin L. Crowgey, Guilherme Del Fiol, Robert R. Freimuth, Mark A. Hoffman, Janina M. Jeff, Kevin B. Johnson, Kensaku Kawamoto, Subha Madhavan, Eneida A. Mendonça, Lucila Ohno-Machado, Siddharth Pratap, Casey Overby Taylor, Marylyn D. Ritchie, Nephi Walton, Chunhua Weng, Teresa Zayas-Cabán, Teri A. Manolio, Marc S. Williams
A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources. J. Am. Medical Informatics Assoc. 29 (8) (2022)
Zhuoran Ding, Marylyn D. Ritchie, Benjamin F. Voight, Wei-Ting Hwang
Estimating the effect size of a hidden causal factor between SNPs and a continuous trait: a mediation model approach. BMC Bioinform. 23 (1) (2022)
Brian Y. Chen, William Bone, Kim Lorenz, Michael Levin, Marylyn D. Ritchie, Benjamin F. Voight
ColocQuiaL: a QTL-GWAS colocalization pipeline. Bioinform. 38 (18) (2022)
Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carrol, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah A. Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. npj Digit. Medicine 4 (2021)
Theodore G. Drivas, Anastasia Lucas, Marylyn D. Ritchie
eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals. BioData Min. 14 (1) (2021)
Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR (2021)
Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes
Ideas for how informaticians can get involved with COVID-19 research. BioData Min. 13 (1) (2020)
Xinyuan Zhang, Ruowang Li, Marylyn D. Ritchie
Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank. AMIA (2020)
Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Tiffany Murray, Teri E. Klein
Biocomputing 2021: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2021 PSB (2020)
Marylyn D. Ritchie, Jason H. Moore, Ju Han Kim
Translational Bioinformatics: Biobanks in the Precision Medicine Era. PSB (2020)
Xinyuan Zhang, Yogasudha Veturi, Shefali Setia Verma, William Bone, Anurag Verma, Anastasia Lucas, Scott J. Hebbring, Joshua C. Denny, Ian Stanaway, Gail P. Jarvik, David R. Crosslin, Eric B. Larson, Laura Rasmussen-Torvik, Sarah A. Pendergrass, Jordan W. Smoller, Hakon Hakonarson, Patrick Sleiman, Chunhua Weng, David Fasel, Wei-Qi Wei, Iftikhar J. Kullo, Daniel J. Schaid, Wendy K. Chung, Marylyn D. Ritchie
Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. PSB (2019)
Xinyuan Zhang, Anna Okula Basile, Sarah A. Pendergrass, Marylyn D. Ritchie
Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico. BMC Bioinform. 20 (1) (2019)
Elisabetta Manduchi, Patryk Orzechowski, Marylyn D. Ritchie, Jason H. Moore
Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies. BioData Min. 12 (1) (2019)
Binglan Li, Yogasudha Veturi, Yukiko Bradford, Shefali S. Verma, Anurag Verma, Anastasia M. Lucas, David W. Haas, Marylyn D. Ritchie
Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies. PSB (2019)
Jason E. Miller, Yogasudha Veturi, Marylyn D. Ritchie
Innovative strategies for annotating the "relationSNP" between variants and molecular phenotypes. BioData Min. 12 (1) (2019)
Pankhuri Singhal, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie
Neural network-based multiomics data integration in Alzheimer's disease. GECCO (Companion) (2019)
Yogasudha Veturi, Marylyn D. Ritchie
How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?. PSB (2018)
Binglan Li, Shefali S. Verma, Yogasudha Veturi, Anurag Verma, Yuki Bradford, David W. Haas, Marylyn D. Ritchie
Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression. PSB (2018)
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) (2018)
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) (2018)
Anna Okula Basile, Marta Byrska-Bishop, John R. Wallace, Alex Thomas Frase, Marylyn D. Ritchie
Novel features and enhancements in BioBin, a tool for the biologically inspired binning and association analysis of rare variants. Bioinform. 34 (3) (2018)
Shefali S. Verma, Anastasia Lucas, Daniel R. Lavage, Joseph B. Leader, Raghu Metpally, Sarathbabu Krishnamurthy, Frederick E. Dewey, Ingrid B. Borecki, Alexander E. Lopez, John D. Overton, John Penn, Jeffrey G. Reid, Sarah A. Pendergrass, Gerda Breitwieser, Marylyn D. Ritchie
Identifying Genetic Associations with Variability in Metabolic Health and Blood Count Laboratory Values: Diving into the Quantitative Traits by Leveraging Longitudinal Data from an EHR. PSB (2017)
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) (2017)
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) (2017)
Dokyoon Kim, Anna Okula Basile, Lisa Bang, Emrin Horgusluoglu, SeungGeun Lee, Marylyn D. Ritchie, Andrew J. Saykin, Kwangsik Nho
Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease. BMC Medical Informatics Decis. Mak. 17 (S-1) (2017)
Dokyoon Kim, Anastasia Lucas, Joseph Glessner, Shefali S. Verma, Yukiko Bradford, Ruowang Li, Alex T. Frase, Hakon Hakonarson, Peggy L. Peissig, Murray H. Brilliant, Marylyn D. Ritchie
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. PSB (2016)
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) (2016)
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 (2016)
Shefali S. Verma, Alex T. Frase, Anurag Verma, Sarah A. Pendergrass, Shaun Mahony, David W. Haas, Marylyn D. Ritchie
Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG). PSB (2016)
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)
Anna Okula Basile, John R. Wallace, Peggy L. Peissig, Catherine A. McCarty, Murray H. Brilliant, Marylyn D. Ritchie
Knowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin. PSB (2016)
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 (2015)
Rishika De, Shefali S. Verma, Fotios Drenos, Emily Rose Holzinger, Michael Holmes, Molly A. Hall, David R. Crosslin, David Carrell, Hakon Hakonarson, Gail P. Jarvik, Eric B. Larson, Jennifer A. Pacheco, Laura Rasmussen-Torvik, Carrie Moore, Folkert W. Asselbergs, Jason H. Moore, Marylyn D. Ritchie, Brendan Keating, Diane Gilbert-Diamond
Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). BioData Min. 8 (2015)
Joseph B. Leader, Sarah A. Pendergrass, Anurag Verma, David J. Carey, Dustin N. Hartzel, Marylyn D. Ritchie, H. Lester Kirchner
Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes. AMIA (2015)
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)
Dokyoon Kim, Je-Gun Joung, Kyung-Ah Sohn, Hyunjung Shin, Yu Rang Park, Marylyn D. Ritchie, Ju Han Kim
Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction. J. Am. Medical Informatics Assoc. 22 (1) (2015)
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 (2014)
Shefali S. Verma, Peggy L. Peissig, Deanna S. Cross, Carol Waudby, Murray H. Brilliant, Catherine A. McCarty, Marylyn D. Ritchie
Benefits of Accurate Imputations in GWAS. EvoApplications (2014)
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)
Janina M. Jeff, Kristin Brown-Gentry, Robert J. Goodloe, Marylyn D. Ritchie, Joshua C. Denny, Abel N. Kho, Loren L. Armstrong, Bob McClellan Jr., Ping Mayo, Melissa Allen, Hailing Jin, Niloufar B. Gillani, Nathalie Schnetz-Boutaud, Holli H. Dilks, Melissa A. Basford, Jennifer A. Pacheco, Gail P. Jarvik, Rex L. Chisholm, Dan M. Roden, M. Geoffrey Hayes, Dana C. Crawford
Replication of SCN5A Associations with Electrocardiographic Traits in African Americans from Clinical and Epidemiologic Studies. EvoApplications (2014)
Timothy H. Ciesielski, Sarah A. Pendergrass, Marquitta J. White, Nuri Kodaman, Rafal S. Sobota, Minjun Huang, Jacquelaine Bartlett, Jing Li, Qinxin Pan, Jiang Gui, Scott B. Selleck, Christopher I. Amos, Marylyn D. Ritchie, Jason H. Moore, Scott M. Williams
Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors. BioData Min. 7 (2014)
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) (2014)
Jason H. Moore, Marylyn D. Ritchie
The central role of biological data mining in connecting diverse disciplines. BioData Min. 6 (2013)
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)
Daniel Wolfe, Scott M. Dudek, Marylyn D. Ritchie, Sarah A. Pendergrass
Visualizing genomic information across chromosomes with PhenoGram. BioData Min. 6 (2013)
Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). MBIA (2013)
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)
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 (2013)
Sarah A. Pendergrass, Alex T. Frase, John R. Wallace, Daniel Wolfe, Neerja Katiyar, Carrie Moore, Marylyn D. Ritchie
Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development. BioData Min. 6 (2013)
Carrie Moore, John R. Wallace, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie
Using BioBin to Explore Rare Variant Population Stratification. Pacific Symposium on Biocomputing (2013)
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)
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)
Marylyn D. Ritchie, Nancy J. Cox, Cheng Cheng, Scott Weiss, Teri E. Klein, Russ B. Altman
Systems Pharmacogenomics-Bridging the Gap. Pacific Symposium on Biocomputing (2012)
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 (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. J. Am. Medical Informatics Assoc. 19 (2) (2012)
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)
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 Min. 4 (2011)
Hua Xu, Min Jiang, Matthew 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. J. Am. Medical Informatics Assoc. 18 (4) (2011)
Chun-Nan Hsu, Cheng-Ju Kuo, Congxing Cai, Sarah A. Pendergrass, Marylyn D. Ritchie, José Luis Ambite
Learning Phenotype Mapping for Integrating Large Genetic Data. BioNLP@ACL (2011)
Benjamin J. Grady, Eric Torstenson, Marylyn D. Ritchie
The effects of linkage disequilibrium in large scale SNP datasets for MDR. BioData Min. 4 (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)
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)
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)
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)
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 (2010)
Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie
Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction. PPSN (1) (2010)
Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie
Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci. EvoBIO (2010)
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)
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. Bioinform. 26 (9) (2010)
William S. Bush, Scott M. Dudek, Marylyn D. Ritchie
Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus. Bioinform. 26 (4) (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 Min. 3 (2010)
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 Min. 2 (2009)
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)
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)
Jesús S. Aguilar-Ruiz, Jason H. Moore, Marylyn D. Ritchie
Filling the gap between biology and computer science. BioData Min. 1 (2008)
Alison A. Motsinger-Reif, Marylyn D. Ritchie
Neural networks for genetic epidemiology: past, present, and future. BioData Min. 1 (2008)
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)
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)
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)
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) (2007)
William S. Bush, Tricia A. Thornton-Wells, Marylyn D. Ritchie
Association Rule Discovery Has the Ability to Model Complex Genetic Effects. CIDM (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)
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) (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)
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)
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)
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)
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 Bioinform. 7 (2006)
Michelle Whirl Carrillo, Russell A. Wilke, Marylyn D. Ritchie
Session Introduction. Pacific Symposium on Biocomputing (2006)
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)
Marylyn D. Ritchie, Michelle Whirl Carrillo, Russell A. Wilke
Session Introduction: Computational Approaches for Pharmacogenomics. Pacific Symposium on Biocomputing (2005)
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)
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) (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 Bioinform. 5 (2004)
Marylyn D. Ritchie, Christopher S. Coffey, Jason H. Moore
Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics. GECCO (1) (2004)
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 Bioinform. 4 (2003)
Lance W. Hahn, Marylyn D. Ritchie, Jason H. Moore
Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. Bioinform. 19 (3) (2003)

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Publication Activity (10 Years)

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Marylyn D. Ritchie