Marylyn D. Ritchie

120 papers A 4B 3C 3Misc 32Journal 56Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learnable protein representations in computational biology for predicting drug-target affinity. J. Cheminformatics Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie
2026	J	`jnl`	Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data. CoRR Sophie Kearney, Shu Yang, Zixuan Wen, Weimin Lyu, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Chao Chen, Li Shen
2025	—	`conf`	A Comprehensive Benchmark of Tool-Augmented Large Language Models for Biomedical Knowledge Retrieval and Integration. BIBM Van Q. Truong, Shu Yang, Li Shen, Marylyn D. Ritchie
2025	J	`jnl`	A one-shot, lossless algorithm for cross-cohort learning in mixed-outcomes analysis. Patterns Ruowang Li, Luke Benz, Rui Duan, Joshua C. Denny, Hakon Hakonarson, Jonathan D. Mosley, Jordan W. Smoller, Wei-Qi Wei, Thomas Lumley, Marylyn D. Ritchie, Jason H. Moore, Yong Chen
2025	J	`jnl`	CASTER-DTA: equivariant graph neural networks for predicting drug-target affinity. Briefings Bioinform. Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie
2025	—	`conf`	Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs. BCB Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2025	J	`jnl`	Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs. CoRR Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2025	—	`conf`	Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. ICCVW Zixuan Wen, Bojian Hou, Weiqing He, Shu Yang, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
2025	J	`jnl`	Network-based analyses of multiomics data in biomedicine. BioData Min. Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie
2024	J	`jnl`	Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 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
2024	J	`jnl`	Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs. CoRR Tianqi Shang, Shu Yang, Weiqing He, Tianhua Zhai, Dawei Li, Bojian Hou, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2023	—	`conf`	Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2023	—	`conf`	Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors. GECCO Companion Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore
2022	J	`jnl`	A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources. J. Am. Medical Informatics Assoc. 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
2022	J	`jnl`	ColocQuiaL: a QTL-GWAS colocalization pipeline. Bioinform. Brian Y. Chen, William Bone, Kim Lorenz, Michael Levin, Marylyn D. Ritchie, Benjamin F. Voight
2022	J	`jnl`	Estimating the effect size of a hidden causal factor between SNPs and a continuous trait: a mediation model approach. BMC Bioinform. Zhuoran Ding, Marylyn D. Ritchie, Benjamin F. Voight, Wei-Ting Hwang
2021	J	`jnl`	Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. npj Digit. Medicine Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carroll, 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
2021	J	`jnl`	Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR 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
2021	J	`jnl`	eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals. BioData Min. Theodore G. Drivas, Anastasia Lucas, Marylyn D. Ritchie
2020	Misc	`ed.`	Biocomputing 2021: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2021 PSB Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Tiffany Murray, Teri E. Klein
2020	J	`jnl`	Ideas for how informaticians can get involved with COVID-19 research. BioData Min. 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
2020	Misc	`conf`	Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank. AMIA Xinyuan Zhang, Ruowang Li, Marylyn D. Ritchie
2020	Misc	`conf`	Translational Bioinformatics: Biobanks in the Precision Medicine Era. PSB Marylyn D. Ritchie, Jason H. Moore, Ju Han Kim
2019	Misc	`ed.`	Biocomputing 2019: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2019 PSB Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein
2019	Misc	`conf`	Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. PSB Xinyuan Zhang, Yogasudha Veturi, Shefali Setia Verma, William Bone, Anurag Verma, Anastasia Lucas, Scott J. Hebbring, Joshua C. Denny, Ian B. 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
2019	J	`jnl`	Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies. BioData Min. Elisabetta Manduchi, Patryk Orzechowski, Marylyn D. Ritchie, Jason H. Moore
2019	Misc	`conf`	Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies. PSB Binglan Li, Yogasudha Veturi, Yukiko Bradford, Shefali S. Verma, Anurag Verma, Anastasia M. Lucas, David W. Haas, Marylyn D. Ritchie
2019	J	`jnl`	Innovative strategies for annotating the "relationSNP" between variants and molecular phenotypes. BioData Min. Jason E. Miller, Yogasudha Veturi, Marylyn D. Ritchie
2019	—	`conf`	Neural network-based multiomics data integration in Alzheimer's disease. GECCO (Companion) Pankhuri Singhal, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie
2019	J	`jnl`	Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico. BMC Bioinform. Xinyuan Zhang, Anna Okula Basile, Sarah A. Pendergrass, Marylyn D. Ritchie
2018	J	`jnl`	A simulation study investigating power estimates in phenome-wide association studies. BMC Bioinform. Anurag Verma, Yukiko Bradford, Scott M. Dudek, Anastasia Lucas, Shefali S. Verma, Sarah A. Pendergrass, Marylyn D. Ritchie
2018	Misc	`ed.`	Biocomputing 2018: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2018 PSB Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein
2018	J	`jnl`	Collective feature selection to identify crucial epistatic variants. BioData Min. 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
2018	Misc	`conf`	Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression. PSB Binglan Li, Shefali S. Verma, Yogasudha Veturi, Anurag Verma, Yuki Bradford, David W. Haas, Marylyn D. Ritchie
2018	Misc	`conf`	How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?. PSB Yogasudha Veturi, Marylyn D. Ritchie
2018	J	`jnl`	Novel features and enhancements in BioBin, a tool for the biologically inspired binning and association analysis of rare variants. Bioinform. Anna Okula Basile, Marta Byrska-Bishop, John R. Wallace, Alex Thomas Frase, Marylyn D. Ritchie
2017	Misc	`ed.`	Biocomputing 2017: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2017 Pacific Symposium on Biocomputing Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein
2017	J	`jnl`	Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 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
2017	Misc	`conf`	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 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
2017	J	`jnl`	Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease. BMC Medical Informatics Decis. Mak. Dokyoon Kim, Anna Okula Basile, Lisa Bang, Emrin Horgusluoglu, Seunggeun Lee, Marylyn D. Ritchie, Andrew J. Saykin, Kwangsik Nho
2017	J	`jnl`	Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. J. Am. Medical Informatics Assoc. Dokyoon Kim, Ruowang Li, Anastasia Lucas, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie
2016	Misc	`ed.`	Biocomputing 2016: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 4-8, 2016 Pacific Symposium on Biocomputing Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Teri E. Klein, Marylyn D. Ritchie
2016	Misc	`conf`	Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. PSB 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
2016	J	`jnl`	Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. BioData Min. 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
2016	Misc	`conf`	Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies. PSB 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
2016	Misc	`conf`	Knowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin. PSB Anna Okula Basile, John R. Wallace, Peggy L. Peissig, Catherine A. McCarty, Murray H. Brilliant, Marylyn D. Ritchie
2016	J	`jnl`	Pathway analysis by randomization incorporating structure - PARIS: an update. Bioinform. Mariusz Butkiewicz, Jessica Cooke Bailey, Alex T. Frase, Scott M. Dudek, Brian L. Yaspan, Marylyn D. Ritchie, Sarah A. Pendergrass, Jonathan L. Haines
2016	Misc	`conf`	Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG). PSB Shefali S. Verma, Alex T. Frase, Anurag Verma, Sarah A. Pendergrass, Shaun Mahony, David W. Haas, Marylyn D. Ritchie
2015	Misc	`conf`	Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma. Pacific Symposium on Biocomputing Dokyoon Kim, Ruowang Li, Scott M. Dudek, John R. Wallace, Marylyn D. Ritchie
2015	Misc	`ed.`	Biocomputing 2015: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 4-8, 2015 Pacific Symposium on Biocomputing Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Teri E. Klein, Marylyn D. Ritchie
2015	Misc	`conf`	Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes. AMIA Joseph B. Leader, Sarah A. Pendergrass, Anurag Verma, David J. Carey, Dustin N. Hartzel, Marylyn D. Ritchie, H. Lester Kirchner
2015	J	`jnl`	Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). BioData Min. 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
2015	J	`jnl`	Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction. J. Am. Medical Informatics Assoc. Dokyoon Kim, Je-Gun Joung, Kyung-Ah Sohn, Hyunjung Shin, Yu Rang Park, Marylyn D. Ritchie, Ju Han Kim
2015	J	`jnl`	Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer. J. Biomed. Informatics Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie
2014	J	`jnl`	ATHENA: the analysis tool for heritable and environmental network associations. Bioinform. Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie
2014	B	`conf`	An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations. EvoApplications Ruowang Li, Do Kyoon Kim, Scott M. Dudek, Marylyn D. Ritchie
2014	B	`conf`	Benefits of Accurate Imputations in GWAS. EvoApplications Shefali S. Verma, Peggy L. Peissig, Deanna S. Cross, Carol Waudby, Murray H. Brilliant, Catherine A. McCarty, Marylyn D. Ritchie
2014	Misc	`ed.`	Biocomputing 2014: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2014 Pacific Symposium on Biocomputing Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Teri E. Klein, Marylyn D. Ritchie
2014	J	`jnl`	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. 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
2014	J	`jnl`	Knowledge-driven genomic interactions: an application in ovarian cancer. BioData Min. Do Kyoon Kim, Ruowang Li, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie
2014	B	`conf`	Replication of SCN5A Associations with Electrocardiographic Traits in African Americans from Clinical and Epidemiologic Studies. EvoApplications 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
2013	—	`conf`	A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). MBIA Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho
2013	Misc	`conf`	ATHENA: A Tool for Meta-Dimensional Analysis Applied to Genotypes and Gene Expression Data to Predict HDL Cholesterol Levels. Pacific Symposium on Biocomputing Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Ronald M. Krauss, Marisa Wong Medina, Marylyn D. Ritchie
2013	J	`jnl`	ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network. BioData Min. Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie
2013	—	`conf`	Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis. GPTP Ruowang Li, Emily Rose Holzinger, Scott M. Dudek, Marylyn D. Ritchie
2013	J	`jnl`	Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development. BioData Min. Sarah A. Pendergrass, Alex T. Frase, John R. Wallace, Daniel Wolfe, Neerja Katiyar, Carrie Moore, Marylyn D. Ritchie
2013	Misc	`conf`	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 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
2013	J	`jnl`	The central role of biological data mining in connecting diverse disciplines. BioData Min. Jason H. Moore, Marylyn D. Ritchie
2013	Misc	`conf`	Using BioBin to Explore Rare Variant Population Stratification. Pacific Symposium on Biocomputing Carrie Moore, John R. Wallace, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie
2013	J	`jnl`	Visualizing genomic information across chromosomes with PhenoGram. BioData Min. Daniel Wolfe, Scott M. Dudek, Marylyn D. Ritchie, Sarah A. Pendergrass
2012	—	`conf`	A Biologically Informed Method for Detecting Associations with Rare Variants. EvoBIO Carrie C. Buchanan, John R. Wallace, Alex T. Frase, Eric Torstenson, Sarah A. Pendergrass, Marylyn D. Ritchie
2012	J	`jnl`	A comparison of cataloged variation between International HapMap Consortium and 1000 Genomes Project data. J. Am. Medical Informatics Assoc. Carrie C. Buchanan, Eric Torstenson, William S. Bush, Marylyn D. Ritchie
2012	—	`conf`	Comparison of Methods for Meta-dimensional Data Analysis Using in Silico and Biological Data Sets. EvoBIO Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Brooke L. Fridley, Prabhakar Chalise, Marylyn D. Ritchie
2012	Misc	`conf`	Systems Pharmacogenomics-Bridging the Gap. Pacific Symposium on Biocomputing Marylyn D. Ritchie, Nancy J. Cox, Cheng Cheng, Scott Weiss, Teri E. Klein, Russ B. Altman
2012	J	`jnl`	Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View. BioData Min. Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie
2011	—	`conf`	ATHENA Optimization: The Effect of Initial Parameter Settings across Different Genetic Models. EvoBio Emily Rose Holzinger, Scott M. Dudek, Eric Torstenson, Marylyn D. Ritchie
2011	—	`ed.`	Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011. Proceedings EvoBio Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini
2011	J	`jnl`	Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin. J. Am. Medical Informatics Assoc. 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
2011	—	`conf`	Learning Phenotype Mapping for Integrating Large Genetic Data. BioNLP@ACL Chun-Nan Hsu, Cheng-Ju Kuo, Congxing Cai, Sarah A. Pendergrass, Marylyn D. Ritchie, José Luis Ambite
2011	J	`jnl`	Rule based classifier for the analysis of gene-gene and gene-environment interactions in genetic association studies. BioData Min. Thorsten Lehr, Jing Yuan, Dirk Zeumer, Supriya Jayadev, Marylyn D. Ritchie
2011	J	`jnl`	The effects of linkage disequilibrium in large scale SNP datasets for MDR. BioData Min. Benjamin J. Grady, Eric Torstenson, Marylyn D. Ritchie
2011	Misc	`conf`	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 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
2011	Misc	`conf`	Visual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View. Pacific Symposium on Biocomputing Sarah A. Pendergrass, Scott M. Dudek, Dan M. Roden, Dana C. Crawford, Marylyn D. Ritchie
2010	J	`jnl`	ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci. BioData Min. Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie
2010	—	`ed.`	Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings EvoBio Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini
2010	Misc	`conf`	Finding Unique Filter Sets in PLATO: A Precursor to Efficient Interaction Analysis in GWAS Data. Pacific Symposium on Biocomputing Benjamin J. Grady, Eric Torstenson, Scott M. Dudek, Justin Giles, David Sexton, Marylyn D. Ritchie
2010	—	`conf`	Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci. EvoBIO Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie
2010	—	`conf`	Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction. PPSN (1) Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie
2010	A	`conf`	Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects. GECCO Emily Rose Holzinger, Carrie C. Buchanan, Scott M. Dudek, Eric Torstenson, Stephen D. Turner, Marylyn D. Ritchie
2010	J	`jnl`	PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations. Bioinform. 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
2010	J	`jnl`	Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis. BioData Min. Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie
2010	J	`jnl`	Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus. Bioinform. William S. Bush, Scott M. Dudek, Marylyn D. Ritchie
2009	Misc	`conf`	Biofilter: A Knowledge-Integration System for the Multi-Locus Analysis of Genome-Wide Association Studies. Pacific Symposium on Biocomputing William S. Bush, Scott M. Dudek, Marylyn D. Ritchie
2009	—	`conf`	Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks. EvoBIO Stephen D. Turner, Marylyn D. Ritchie, William S. Bush
2009	—	`ed.`	Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 7th European Conference, EvoBIO 2009, Tübingen, Germany, April 15-17, 2009, Proceedings EvoBio Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini
2009	J	`jnl`	LD-Spline: Mapping SNPs on genotyping platforms to genomic regions using patterns of linkage disequilibrium. BioData Min. William S. Bush, Guanhua Chen, Eric Torstenson, Marylyn D. Ritchie
2008	A	`conf`	A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance. GECCO Nicholas E. Hardison, Theresa J. Fanelli, Scott M. Dudek, David M. Reif, Marylyn D. Ritchie, Alison A. Motsinger-Reif
2008	J	`jnl`	Alternative contingency table measures improve the power and detection of multifactor dimensionality reduction. BMC Bioinform. William S. Bush, Todd L. Edwards, Scott M. Dudek, Brett A. McKinney, Marylyn D. Ritchie
2008	J	`jnl`	Filling the gap between biology and computer science. BioData Min. Jesús S. Aguilar-Ruiz, Jason H. Moore, Marylyn D. Ritchie
2008	—	`conf`	Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA. EvoBIO Todd L. Edwards, William S. Bush, Stephen D. Turner, Scott M. Dudek, Eric Torstenson, Mike Schmidt, Eden Martin, Marylyn D. Ritchie
2008	J	`jnl`	Neural networks for genetic epidemiology: past, present, and future. BioData Min. Alison A. Motsinger-Reif, Marylyn D. Ritchie
2007	C	`conf`	Association Rule Discovery Has the Ability to Model Complex Genetic Effects. CIDM William S. Bush, Tricia A. Thornton-Wells, Marylyn D. Ritchie
2007	J	`jnl`	Genetic programming neural networks: A powerful bioinformatics tool for human genetics. Appl. Soft Comput. Marylyn D. Ritchie, Alison A. Motsinger, William S. Bush, Christopher S. Coffey, Jason H. Moore
2007	C	`conf`	Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. CIBCB Alison A. Motsinger, David M. Reif, Theresa J. Fanelli, Anna C. Davis, Marylyn D. Ritchie
2006	A	`conf`	Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks. GECCO Alison A. Motsinger, Lance W. Hahn, Scott M. Dudek, Kelli K. Ryckman, Marylyn D. Ritchie
2006	—	`conf`	Comparison of Neural Network Optimization Approaches for Studies of Human Genetics. EvoWorkshops Alison A. Motsinger, Scott M. Dudek, Lance W. Hahn, Marylyn D. Ritchie
2006	Misc	`conf`	Data Simulation Software for Whole-Genome Association and Other Studies in Human Genetics. Pacific Symposium on Biocomputing Scott M. Dudek, Alison A. Motsinger, Digna R. Velez, Scott M. Williams, Marylyn D. Ritchie
2006	J	`jnl`	GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease. BMC Bioinform. Alison A. Motsinger, Stephen L. Lee, George Mellick, Marylyn D. Ritchie
2006	J	`jnl`	Parallel multifactor dimensionality reduction: a tool for the large-scale analysis of gene-gene interactions. Bioinform. William S. Bush, Scott M. Dudek, Marylyn D. Ritchie
2006	Misc	`conf`	Risk Factor Interactions and Genetic Effects Associated with Post-Operative Atrial Fibrillation. Pacific Symposium on Biocomputing Alison A. Motsinger, Brian S. Donahue, Nancy J. Brown, Dan M. Roden, Marylyn D. Ritchie
2006	Misc	`conf`	Session Introduction. Pacific Symposium on Biocomputing Michelle Whirl Carrillo, Russell A. Wilke, Marylyn D. Ritchie
2006	C	`conf`	Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology. CIBCB Alison A. Motsinger, David M. Reif, Scott M. Dudek, Marylyn D. Ritchie
2005	—	`conf`	Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?. EvoWorkshops William S. Bush, Alison A. Motsinger, Scott M. Dudek, Marylyn D. Ritchie
2005	Misc	`conf`	Session Introduction: Computational Approaches for Pharmacogenomics. Pacific Symposium on Biocomputing Marylyn D. Ritchie, Michelle Whirl Carrillo, Russell A. Wilke
2004	J	`jnl`	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. Christopher S. Coffey, Patricia R. Hebert, Marylyn D. Ritchie, Harlan M. Krumholz, John Michael Gaziano, Paul M. Ridker, Nancy J. Brown, Douglas E. Vaughan, Jason H. Moore
2004	—	`conf`	Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics. GECCO (1) Marylyn D. Ritchie, Christopher S. Coffey, Jason H. Moore
2004	J	`jnl`	Routine discovery of complex genetic models using genetic algorithms. Appl. Soft Comput. Jason H. Moore, Lance W. Hahn, Marylyn D. Ritchie, Tricia A. Thornton, Bill C. White
2003	J	`jnl`	Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. Bioinform. Lance W. Hahn, Marylyn D. Ritchie, Jason H. Moore
2003	J	`jnl`	Optimizationof neural network architecture using genetic programming improvesdetection and modeling of gene-gene interactions in studies of humandiseases. BMC Bioinform. Marylyn D. Ritchie, Bill C. White, Joel S. Parker, Lance W. Hahn, Jason H. Moore
2002	A	`conf`	Application Of Genetic Algorithms To The Discovery Of Complex Models For Simulation Studies In Human Genetics. GECCO Jason H. Moore, Lance W. Hahn, Marylyn D. Ritchie, Tricia A. Thornton, Bill C. White