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Marylyn D. Ritchie

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

38

Venues

8

Active years

2002–2025

Best venue rank

A*

Where they publish

Papers

38 indexed papers, newest first.

YearVenueTitleAuthors
2025ICCVMulti-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery.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
2023GECCOExtending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors.Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore
2020AMIAStatistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank.Xinyuan Zhang, Ruowang Li, Marylyn D. Ritchie
2020PSBTranslational Bioinformatics: Biobanks in the Precision Medicine Era.Marylyn D. Ritchie, Jason H. Moore, Ju Han Kim
2019GECCONeural network-based multiomics data integration in Alzheimer's disease.Pankhuri Singhal, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie
2019PSBInfluence of tissue context on gene prioritization for predicted transcriptome-wide association studies.Binglan Li, Yogasudha Veturi, Yukiko Bradford, Shefali S. Verma, Anurag Verma, Anastasia M. Lucas, David W. Haas, Marylyn D. Ritchie
2019PSBDetecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.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
2018PSBEvaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression.Binglan Li, Shefali S. Verma, Yogasudha Veturi, Anurag Verma, Yuki Bradford, David W. Haas, Marylyn D. Ritchie
2018PSBHow powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?.Yogasudha Veturi, Marylyn D. Ritchie
2017PSBIdentifying Genetic Associations with Variability in Metabolic Health and Blood Count Laboratory Values: Diving into the Quantitative Traits by Leveraging Longitudinal Data from an EHR.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
2016PSBKnowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin.Anna Okula Basile, John R. Wallace, Peggy L. Peissig, Catherine A. McCarty, Murray H. Brilliant, Marylyn D. Ritchie
2016PSBBiofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden.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
2016PSBPhenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG).Shefali S. Verma, Alex T. Frase, Anurag Verma, Sarah A. Pendergrass, Shaun Mahony, David W. Haas, Marylyn D. Ritchie
2016PSBIntegrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies.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
2015AMIAContrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes.Joseph B. Leader, Sarah A. Pendergrass, Anurag Verma, David J. Carey, Dustin N. Hartzel, Marylyn D. Ritchie, H. Lester Kirchner
2015PSBBinning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma.Dokyoon Kim, Ruowang Li, Scott M. Dudek, John R. Wallace, Marylyn D. Ritchie
2013MICCAIA Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI).Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho
2013PSBATHENA: A Tool for Meta-Dimensional Analysis Applied to Genotypes and Gene Expression Data to Predict HDL Cholesterol Levels.Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Ronald M. Krauss, Marisa Wong Medina, Marylyn D. Ritchie
2013PSBUsing BioBin to Explore Rare Variant Population Stratification.Carrie Moore, John R. Wallace, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie
2013PSBNext-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit.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
2012PSBSystems Pharmacogenomics-Bridging the Gap.Marylyn D. Ritchie, Nancy J. Cox, Cheng Cheng, Scott Weiss, Teri E. Klein, Russ B. Altman
2011PSBUse 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.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
2011PSBVisual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View.Sarah A. Pendergrass, Scott M. Dudek, Dan M. Roden, Dana C. Crawford, Marylyn D. Ritchie
2010GECCOInitialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects.Emily Rose Holzinger, Carrie C. Buchanan, Scott M. Dudek, Eric Torstenson, Stephen D. Turner, Marylyn D. Ritchie
2010PPSNIncorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction.Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie
2010PSBFinding Unique Filter Sets in PLATO: A Precursor to Efficient Interaction Analysis in GWAS Data.Benjamin J. Grady, Eric Torstenson, Scott M. Dudek, Justin Giles, David Sexton, Marylyn D. Ritchie
2009PSBBiofilter: A Knowledge-Integration System for the Multi-Locus Analysis of Genome-Wide Association Studies.William S. Bush, Scott M. Dudek, Marylyn D. Ritchie
2008GECCOA balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance.Nicholas E. Hardison, Theresa J. Fanelli, Scott M. Dudek, David M. Reif, Marylyn D. Ritchie, Alison A. Motsinger-Reif
2007CIBCBLinkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks.Alison A. Motsinger, David M. Reif, Theresa J. Fanelli, Anna C. Davis, Marylyn D. Ritchie
2007CIDMAssociation Rule Discovery Has the Ability to Model Complex Genetic Effects.William S. Bush, Tricia A. Thornton-Wells, Marylyn D. Ritchie
2006CIBCBUnderstanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology.Alison A. Motsinger, David M. Reif, Scott M. Dudek, Marylyn D. Ritchie
2006GECCOAlternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks.Alison A. Motsinger, Lance W. Hahn, Scott M. Dudek, Kelli K. Ryckman, Marylyn D. Ritchie
2006PSBSession Introduction.Michelle Whirl Carrillo, Russell A. Wilke, Marylyn D. Ritchie
2006PSBData Simulation Software for Whole-Genome Association and Other Studies in Human Genetics.Scott M. Dudek, Alison A. Motsinger, Digna R. Velez, Scott M. Williams, Marylyn D. Ritchie
2006PSBRisk Factor Interactions and Genetic Effects Associated with Post-Operative Atrial Fibrillation.Alison A. Motsinger, Brian S. Donahue, Nancy J. Brown, Dan M. Roden, Marylyn D. Ritchie
2005PSBSession Introduction: Computational Approaches for Pharmacogenomics.Marylyn D. Ritchie, Michelle Whirl Carrillo, Russell A. Wilke
2004GECCOGenetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics.Marylyn D. Ritchie, Christopher S. Coffey, Jason H. Moore
2002GECCOApplication Of Genetic Algorithms To The Discovery Of Complex Models For Simulation Studies In Human Genetics.Jason H. Moore, Lance W. Hahn, Marylyn D. Ritchie, Tricia A. Thornton, Bill C. White