Application 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 (GECCO, 2002)

Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. - Lance W. Hahn; Marylyn D. Ritchie; Jason H. Moore (Bioinform., 2003)

Optimizationof neural network architecture using genetic programming improvesdetection and modeling of gene-gene interactions in studies of humandiseases. - Marylyn D. Ritchie; Bill C. White; Joel S. Parker; Lance W. Hahn; Jason H. Moore (BMC Bioinform., 2003)

Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics. - Marylyn D. Ritchie; Christopher S. Coffey; Jason H. Moore (GECCO (1), 2004)

Routine discovery of complex genetic models using genetic algorithms. - Jason H. Moore; Lance W. Hahn; Marylyn D. Ritchie; Tricia A. Thornton; Bill C. White (Appl. Soft Comput., 2004)

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. - 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 (BMC Bioinform., 2004)

Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?. - William S. Bush; Alison A. Motsinger; Scott M. Dudek; Marylyn D. Ritchie (EvoWorkshops, 2005)

Session Introduction: Computational Approaches for Pharmacogenomics. - Marylyn D. Ritchie; Michelle Whirl Carrillo; Russell A. Wilke (Pacific Symposium on Biocomputing, 2005)

Understanding 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 (CIBCB, 2006)

Comparison of Neural Network Optimization Approaches for Studies of Human Genetics. - Alison A. Motsinger; Scott M. Dudek; Lance W. Hahn; Marylyn D. Ritchie (EvoWorkshops, 2006)

Alternative 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 (GECCO, 2006)

Session Introduction. - Michelle Whirl Carrillo; Russell A. Wilke; Marylyn D. Ritchie (Pacific Symposium on Biocomputing, 2006)

Data 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 (Pacific Symposium on Biocomputing, 2006)

Risk 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 (Pacific Symposium on Biocomputing, 2006)

Parallel multifactor dimensionality reduction: a tool for the large-scale analysis of gene-gene interactions. - William S. Bush; Scott M. Dudek; Marylyn D. Ritchie (Bioinform., 2006)

GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease. - Alison A. Motsinger; Stephen L. Lee; George Mellick; Marylyn D. Ritchie (BMC Bioinform., 2006)

Linkage 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 (CIBCB, 2007)

Association Rule Discovery Has the Ability to Model Complex Genetic Effects. - William S. Bush; Tricia A. Thornton-Wells; Marylyn D. Ritchie (CIDM, 2007)

Genetic programming neural networks: A powerful bioinformatics tool for human genetics. - Marylyn D. Ritchie; Alison A. Motsinger; William S. Bush; Christopher S. Coffey; Jason H. Moore (Appl. Soft Comput., 2007)

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

A 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 (GECCO, 2008)

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

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

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

Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks. - Stephen D. Turner; Marylyn D. Ritchie; William S. Bush (EvoBIO, 2009)

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

LD-Spline: Mapping SNPs on genotyping platforms to genomic regions using patterns of linkage disequilibrium. - William S. Bush; Guanhua Chen 002; Eric Torstenson; Marylyn D. Ritchie (BioData Min., 2009)

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

Initialization 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 (GECCO, 2010)

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

Finding 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 (Pacific Symposium on Biocomputing, 2010)

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

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

Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus. - William S. Bush; Scott M. Dudek; Marylyn D. Ritchie (Bioinform., 2010)

PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations. - 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 (Bioinform., 2010)

Learning Phenotype Mapping for Integrating Large Genetic Data. - Chun-Nan Hsu; Cheng-Ju Kuo; Congxing Cai; Sarah A. Pendergrass; Marylyn D. Ritchie; José Luis Ambite (BioNLP@ACL, 2011)

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

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. - 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 (Pacific Symposium on Biocomputing, 2011)

Visual 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 (Pacific Symposium on Biocomputing, 2011)

The effects of linkage disequilibrium in large scale SNP datasets for MDR. - Benjamin J. Grady; Eric Torstenson; Marylyn D. Ritchie (BioData Min., 2011)

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

Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin. - Hua Xu 001; Min Jiang 007; 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; et al. (J. Am. Medical Informatics Assoc., 2011)

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

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

Systems Pharmacogenomics-Bridging the Gap. - Marylyn D. Ritchie; Nancy J. Cox; Cheng Cheng; Scott Weiss; Teri E. Klein; Russ B. Altman (Pacific Symposium on Biocomputing, 2012)

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

A comparison of cataloged variation between International HapMap Consortium and 1000 Genomes Project data. - Carrie C. Buchanan; Eric Torstenson; William S. Bush; Marylyn D. Ritchie (J. Am. Medical Informatics Assoc., 2012)

Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis. - Ruowang Li; Emily Rose Holzinger; Scott M. Dudek; Marylyn D. Ritchie (GPTP, 2013)

A 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 001; Marylyn D. Ritchie; Michael W. Weiner; Andrew J. Saykin; Kwangsik Nho (MBIA, 2013)

ATHENA: 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 (Pacific Symposium on Biocomputing, 2013)

Using BioBin to Explore Rare Variant Population Stratification. - Carrie Moore; John R. Wallace; Alex T. Frase; Sarah A. Pendergrass; Marylyn D. Ritchie (Pacific Symposium on Biocomputing, 2013)

Next-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 (Pacific Symposium on Biocomputing, 2013)

ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network. - Dokyoon Kim; Ruowang Li; Scott M. Dudek; Marylyn D. Ritchie (BioData Min., 2013)

The central role of biological data mining in connecting diverse disciplines. - Jason H. Moore; Marylyn D. Ritchie (BioData Min., 2013)

Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development. - Sarah A. Pendergrass; Alex T. Frase; John R. Wallace; Daniel Wolfe; Neerja Katiyar; Carrie Moore; Marylyn D. Ritchie (BioData Min., 2013)

Visualizing genomic information across chromosomes with PhenoGram. - Daniel Wolfe; Scott M. Dudek; Marylyn D. Ritchie; Sarah A. Pendergrass (BioData Min., 2013)

Replication of SCN5A Associations with Electrocardiographic Traits in African Americans from Clinical and Epidemiologic Studies. - 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; et al. (EvoApplications, 2014)

An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations. - Ruowang Li; Do Kyoon Kim; Scott M. Dudek; Marylyn D. Ritchie (EvoApplications, 2014)

Benefits of Accurate Imputations in GWAS. - Shefali S. Verma; Peggy L. Peissig; Deanna S. Cross; Carol Waudby; Murray H. Brilliant; Catherine A. McCarty; Marylyn D. Ritchie (EvoApplications, 2014)

Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors. - 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; et al. (BioData Min., 2014)

Knowledge-driven genomic interactions: an application in ovarian cancer. - Do Kyoon Kim; Ruowang Li; Scott M. Dudek; Alex T. Frase; Sarah A. Pendergrass; Marylyn D. Ritchie (BioData Min., 2014)

ATHENA: the analysis tool for heritable and environmental network associations. - Emily Rose Holzinger; Scott M. Dudek; Alex T. Frase; Sarah A. Pendergrass; Marylyn D. Ritchie (Bioinform., 2014)

Contrasting 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 (AMIA, 2015)

Binning 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 (Pacific Symposium on Biocomputing, 2015)

Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). - 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; et al. (BioData Min., 2015)

Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction. - Dokyoon Kim; Je-Gun Joung; Kyung-Ah Sohn; Hyunjung Shin; Yu Rang Park; Marylyn D. Ritchie; Ju Han Kim (J. Am. Medical Informatics Assoc., 2015)

Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer. - Dokyoon Kim; Ruowang Li; Scott M. Dudek; Marylyn D. Ritchie (J. Biomed. Informatics, 2015)

Knowledge 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 (PSB, 2016)

Biofilter 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 (PSB, 2016)

Phenome-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 (PSB, 2016)

Integrating 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; et al. (PSB, 2016)

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. - 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 (BioData Min., 2016)

A biologically informed method for detecting rare variant associations. - Carrie Colleen Buchanan Moore; Anna Okula Basile; John R. Wallace; Alex Thomas Frase; Marylyn DeRiggi Ritchie (BioData Min., 2016)

Pathway analysis by randomization incorporating structure - PARIS: an update. - Mariusz Butkiewicz; Jessica Cooke Bailey; Alex T. Frase; Scott M. Dudek; Brian L. Yaspan; Marylyn D. Ritchie; Sarah A. Pendergrass; Jonathan L. Haines (Bioinform., 2016)

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. - 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; et al. (PSB, 2017)

Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. - 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; et al. (BioData Min., 2017)

Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. - Dokyoon Kim; Ruowang Li; Anastasia Lucas; Shefali S. Verma; Scott M. Dudek; Marylyn D. Ritchie (J. Am. Medical Informatics Assoc., 2017)

Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease. - Dokyoon Kim; Anna Okula Basile; Lisa Bang; Emrin Horgusluoglu; SeungGeun Lee; Marylyn D. Ritchie; Andrew J. Saykin; Kwangsik Nho (BMC Medical Informatics Decis. Mak., 2017)

Evaluation 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 (PSB, 2018)

How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?. - Yogasudha Veturi; Marylyn D. Ritchie (PSB, 2018)

Collective feature selection to identify crucial epistatic variants. - Shefali S. Verma; Anastasia Lucas; Xinyuan Zhang 003; Yogasudha Veturi; Scott M. Dudek; Binglan Li; Ruowang Li; Ryan J. Urbanowicz; Jason H. Moore; Dokyoon Kim; Marylyn D. Ritchie (BioData Min., 2018)

Novel features and enhancements in BioBin, a tool for the biologically inspired binning and association analysis of rare variants. - Anna Okula Basile; Marta Byrska-Bishop; John R. Wallace; Alex Thomas Frase; Marylyn D. Ritchie (Bioinform., 2018)

A simulation study investigating power estimates in phenome-wide association studies. - Anurag Verma; Yukiko Bradford; Scott M. Dudek; Anastasia Lucas; Shefali S. Verma; Sarah A. Pendergrass; Marylyn D. Ritchie (BMC Bioinform., 2018)

Neural network-based multiomics data integration in Alzheimer's disease. - Pankhuri Singhal; Shefali S. Verma; Scott M. Dudek; Marylyn D. Ritchie (GECCO (Companion), 2019)

Influence 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 (PSB, 2019)

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. - Xinyuan Zhang 003; 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; et al. (PSB, 2019)

Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies. - Elisabetta Manduchi; Patryk Orzechowski; Marylyn D. Ritchie; Jason H. Moore (BioData Min., 2019)

Innovative strategies for annotating the "relationSNP" between variants and molecular phenotypes. - Jason E. Miller; Yogasudha Veturi; Marylyn D. Ritchie (BioData Min., 2019)

Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico. - Xinyuan Zhang 003; Anna Okula Basile; Sarah A. Pendergrass; Marylyn D. Ritchie (BMC Bioinform., 2019)

Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank. - Xinyuan Zhang 003; Ruowang Li; Marylyn D. Ritchie (AMIA, 2020)

Biocomputing 2021: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2021 - Russ B. Altman; A. Keith Dunker; Lawrence Hunter; Marylyn D. Ritchie; Tiffany Murray; Teri E. Klein (PSB, 2020)

Translational Bioinformatics: Biobanks in the Precision Medicine Era. - Marylyn D. Ritchie; Jason H. Moore; Ju Han Kim (PSB, 2020)

Ideas for how informaticians can get involved with COVID-19 research. - Jason H. Moore; Ian Barnett; Mary Regina Boland; Yong Chen 016; George Demiris; Graciela Gonzalez-Hernandez; Daniel S. Herman; Blanca E. Himes; Rebecca A. Hubbard; Dokyoon Kim; Jeffrey S. Morris; Danielle L. Mowery; et al. (BioData Min., 2020)

eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals. - Theodore G. Drivas; Anastasia Lucas; Marylyn D. Ritchie (BioData Min., 2021)

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. - Junhao Wen 002; Cynthia H. Y. Fu; Duygu Tosun; Yogasudha Veturi; Zhijian Yang; Ahmed Abdulkadir; Elizabeth Mamourian; Dhivya Srinivasan; Jingxuan Bao; Güray Erus; Haochang Shou; Mohamad Habes; et al. (CoRR, 2021)

Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. - 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; et al. (npj Digit. Medicine, 2021)

ColocQuiaL: a QTL-GWAS colocalization pipeline. - Brian Y. Chen; William Bone; Kim Lorenz; Michael Levin 002; Marylyn D. Ritchie; Benjamin F. Voight (Bioinform., 2022)

Estimating the effect size of a hidden causal factor between SNPs and a continuous trait: a mediation model approach. - Zhuoran Ding; Marylyn D. Ritchie; Benjamin F. Voight; Wei-Ting Hwang (BMC Bioinform., 2022)

A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources. - 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; et al. (J. Am. Medical Informatics Assoc., 2022)

Extending 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 (GECCO Companion, 2023)

Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. - Boning Tong; Zhuoping Zhou; Davoud Ataee Tarzanagh; Bojian Hou; Andrew J. Saykin; Jason H. Moore; Marylyn D. Ritchie; Li Shen 001 (MLMI@MICCAI (2), 2023)

Genetic Algorithm Selection of Interacting Features (GASIF) for Selecting Biological Gene-Gene Interactions. - Rachit Kumar; David Zhang; Marylyn DeRiggi Ritchie (GECCO, 2024)

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs. - Tianqi Shang; Shu Yang 009; Weiqing He; Tianhua Zhai; Dawei Li 008; Bojian Hou; Tianlong Chen 001; Jason H. Moore; Marylyn D. Ritchie; Li Shen 001 (CoRR, 2024)

Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. - Bojian Hou; Zixuan Wen; Jingxuan Bao; Richard Zhang; Boning Tong; Shu Yang 009; Junhao Wen 002; Yuhan Cui; Jason H. Moore; Andrew J. Saykin; Heng Huang; Paul M. Thompson; et al. (Medical Image Anal., 2024)

Network-based analyses of multiomics data in biomedicine. - Rachit Kumar; Joseph D. Romano; Marylyn D. Ritchie (BioData Min., 2025)

Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs. - Sophie Kearney; Shu Yang 009; Zixuan Wen; Bojian Hou; Duy Duong-Tran; Tianlong Chen 001; Jason H. Moore; Marylyn D. Ritchie; Li Shen 001 (CoRR, 2025)