Marylyn D. Ritchie

Orcid: 0000-0002-1208-1720

Affiliations:
  • Pennsylvania State University, PA, USA


According to our database1, Marylyn D. Ritchie authored at least 104 papers between 2002 and 2024.

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Bibliography

2024
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery.
Medical Image Anal., 2024

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs.
CoRR, 2024

Genetic Algorithm Selection of Interacting Features (GASIF) for Selecting Biological Gene-Gene Interactions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

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

Estimating the effect size of a hidden causal factor between SNPs and a continuous trait: a mediation model approach.
BMC Bioinform., 2022

ColocQuiaL: a QTL-GWAS colocalization pipeline.
Bioinform., 2022

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

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR, 2021

eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals.
BioData Min., 2021

2020
Ideas for how informaticians can get involved with COVID-19 research.
BioData Min., 2020

Translational Bioinformatics: Biobanks in the Precision Medicine Era.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Biocomputing 2021: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2021
, 2020

Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank.
Proceedings of the AMIA 2020, 2020

2019
Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico.
BMC Bioinform., 2019

Innovative strategies for annotating the "relationSNP" between variants and molecular phenotypes.
BioData Min., 2019

Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies.
BioData Min., 2019

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Neural network-based multiomics data integration in Alzheimer's disease.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
A simulation study investigating power estimates in phenome-wide association studies.
BMC Bioinform., 2018

Novel features and enhancements in BioBin, a tool for the biologically inspired binning and association analysis of rare variants.
Bioinform., 2018

Collective feature selection to identify crucial epistatic variants.
BioData Min., 2018

How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017
Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease.
BMC Medical Informatics Decis. Mak., 2017

Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma.
J. Am. Medical Informatics Assoc., 2017

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

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.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016
Pathway analysis by randomization incorporating structure - PARIS: an update.
Bioinform., 2016

A biologically informed method for detecting rare variant associations.
BioData Min., 2016

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

Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG).
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Knowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2015
Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
J. Biomed. Informatics, 2015

Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction.
J. Am. Medical Informatics Assoc., 2015

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

Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes.
Proceedings of the AMIA 2015, 2015

2014
ATHENA: the analysis tool for heritable and environmental network associations.
Bioinform., 2014

Knowledge-driven genomic interactions: an application in ovarian cancer.
BioData Min., 2014

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., 2014

Benefits of Accurate Imputations in GWAS.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

Replication of SCN5A Associations with Electrocardiographic Traits in African Americans from Clinical and Epidemiologic Studies.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2013
Visualizing genomic information across chromosomes with PhenoGram.
BioData Min., 2013

Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development.
BioData Min., 2013

The central role of biological data mining in connecting diverse disciplines.
BioData Min., 2013

ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network.
BioData Min., 2013

Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

Using BioBin to Explore Rare Variant Population Stratification.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

ATHENA: A Tool for Meta-Dimensional Analysis Applied to Genotypes and Gene Expression Data to Predict HDL Cholesterol Levels.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI).
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis.
Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013

2012
A comparison of cataloged variation between International HapMap Consortium and 1000 Genomes Project data.
J. Am. Medical Informatics Assoc., 2012

Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View.
BioData Min., 2012

Systems Pharmacogenomics-Bridging the Gap.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

Comparison of Methods for Meta-dimensional Data Analysis Using in Silico and Biological Data Sets.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012

A Biologically Informed Method for Detecting Associations with Rare Variants.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012

2011
Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin.
J. Am. Medical Informatics Assoc., 2011

Rule based classifier for the analysis of gene-gene and gene-environment interactions in genetic association studies.
BioData Min., 2011

The effects of linkage disequilibrium in large scale SNP datasets for MDR.
BioData Min., 2011

Visual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View.
Proceedings of the Biocomputing 2011: Proceedings of the Pacific Symposium, 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.
Proceedings of the Biocomputing 2011: Proceedings of the Pacific Symposium, 2011

ATHENA Optimization: The Effect of Initial Parameter Settings across Different Genetic Models.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

Learning Phenotype Mapping for Integrating Large Genetic Data.
Proceedings of the 2011 Workshop on Biomedical Natural Language Processing, 2011

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

Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus.
Bioinform., 2010

ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci.
BioData Min., 2010

Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis.
BioData Min., 2010

Finding Unique Filter Sets in PLATO: A Precursor to Efficient Interaction Analysis in GWAS Data.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction.
Proceedings of the Parallel Problem Solving from Nature, 2010

Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci.
Proceedings of the Evolutionary Computation, 2010

2009
LD-Spline: Mapping SNPs on genotyping platforms to genomic regions using patterns of linkage disequilibrium.
BioData Min., 2009

Biofilter: A Knowledge-Integration System for the Multi-Locus Analysis of Genome-Wide Association Studies.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks.
Proceedings of the Evolutionary Computation, 2009

2008
Alternative contingency table measures improve the power and detection of multifactor dimensionality reduction.
BMC Bioinform., 2008

Neural networks for genetic epidemiology: past, present, and future.
BioData Min., 2008

Filling the gap between biology and computer science.
BioData Min., 2008

A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA.
Proceedings of the Evolutionary Computation, 2008

2007
Genetic programming neural networks: A powerful bioinformatics tool for human genetics.
Appl. Soft Comput., 2007

Association Rule Discovery Has the Ability to Model Complex Genetic Effects.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

2006
GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease.
BMC Bioinform., 2006

Parallel multifactor dimensionality reduction: a tool for the large-scale analysis of gene-gene interactions.
Bioinform., 2006

Risk Factor Interactions and Genetic Effects Associated with Post-Operative Atrial Fibrillation.
Proceedings of the Biocomputing 2006, 2006

Data Simulation Software for Whole-Genome Association and Other Studies in Human Genetics.
Proceedings of the Biocomputing 2006, 2006

Session Introduction.
Proceedings of the Biocomputing 2006, 2006

Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Comparison of Neural Network Optimization Approaches for Studies of Human Genetics.
Proceedings of the Applications of Evolutionary Computing, 2006

Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2005
Session Introduction: Computational Approaches for Pharmacogenomics.
Proceedings of the Biocomputing 2005, 2005

Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?.
Proceedings of the Applications of Evolutionary Computing, 2005

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.
BMC Bioinform., 2004

Routine discovery of complex genetic models using genetic algorithms.
Appl. Soft Comput., 2004

Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
Optimizationof neural network architecture using genetic programming improvesdetection and modeling of gene-gene interactions in studies of humandiseases.
BMC Bioinform., 2003

Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions.
Bioinform., 2003

2002
Application Of Genetic Algorithms To The Discovery Of Complex Models For Simulation Studies In Human Genetics.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002


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