Scott M. Dudek

发表

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

Marylyn D. Ritchie, William S. Bush, Scott M. Dudek, 2006, Bioinform..

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

Marylyn D. Ritchie, Scott M. Dudek, Do Kyoon Kim, 2013, BioData Mining.

Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies

Marylyn D. Ritchie, Shefali S. Verma, Anurag Verma, 2016, PSB.

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

Marylyn D. Ritchie, Dana C. Crawford, Scott M. Dudek, 2010, BioData Mining.

Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma

Marylyn D. Ritchie, Shefali S. Verma, Scott M. Dudek, 2017, J. Am. Medical Informatics Assoc..

Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology

Marylyn D. Ritchie, David M. Reif, Scott M. Dudek, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Exploratory Visual Analysis of Pharmacogenomic Results

Jason H. Moore, David M. Reif, Scott M. Dudek, 2004, Pacific Symposium on Biocomputing.

An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations

Marylyn D. Ritchie, Scott M. Dudek, Do Kyoon Kim, 2014, EvoApplications.

Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks

Lance W. Hahn, Marylyn D. Ritchie, Scott M. Dudek, 2006, GECCO '06.

Finding Unique Filter Sets in PLATO: A Precursor to Efficient Interaction Analysis in GWAS Data

Marylyn D. Ritchie, Eric Torstenson, Scott M. Dudek, 2010, Pacific Symposium on Biocomputing.

Alternative contingency table measures improve the power and detection of multifactor dimensionality reduction

Marylyn D. Ritchie, William S. Bush, Scott M. Dudek, 2008, BMC Bioinformatics.

Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis

Marylyn D. Ritchie, Scott M. Dudek, Ruowang Li, 2013, GPTP.

Comparison of Methods for Meta-dimensional Data Analysis Using in Silico and Biological Data Sets

Marylyn D. Ritchie, Brooke L. Fridley, Scott M. Dudek, 2012, EvoBIO.

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

Jason H. Moore, Gerard Tromp, Marylyn D. Ritchie, 2017, BioData Mining.

Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?

Marylyn D. Ritchie, William S. Bush, Scott M. Dudek, 2005, EvoWorkshops.

ATHENA: the analysis tool for heritable and environmental network associations

Marylyn D. Ritchie, Scott M. Dudek, Alex T. Frase, 2014, Bioinform..

Visual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View

Marylyn D. Ritchie, Dana C. Crawford, Scott M. Dudek, 2011, Pacific Symposium on Biocomputing.

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

Marylyn D. Ritchie, Scott M. Dudek, Stephen D. Turner, 2010, BioData Mining.

Collective feature selection to identify crucial epistatic variants

Xinyuan Zhang, Jason H. Moore, Ryan J. Urbanowicz, 2018, BioData Mining.

ATHENA: A Tool for Meta-Dimensional Analysis Applied to Genotypes and Gene Expression Data to Predict HDL Cholesterol Levels

Marylyn D. Ritchie, Scott M. Dudek, Marisa Wong Medina, 2012, Pacific Symposium on Biocomputing.

Meta-Dimensional Analysis of Phenotypes Using the Analysis Tool for Heritable and Environmental Network Associations (ATHENA): Challenges with Building Large Networks

Brooke L. Fridley, Scott M. Dudek, Marylyn D. Ritchie, 2013 .

Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction

Marylyn D. Ritchie, Scott M. Dudek, Stephen D. Turner, 2010, PPSN.

ATHENA Optimization: The Effect of Initial Parameter Settings across Different Genetic Models

Marylyn D. Ritchie, Eric Torstenson, Scott M. Dudek, 2011, EvoBio.

Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit

Marylyn D. Ritchie, Shefali S. Verma, Scott M. Dudek, 2012, Pacific Symposium on Biocomputing.

Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer

Marylyn D. Ritchie, Scott M. Dudek, Do Kyoon Kim, 2015, J. Biomed. Informatics.

Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View

Marylyn D. Ritchie, Dana C. Crawford, Scott M. Dudek, 2012, BioData Mining.

A simulation study investigating power estimates in phenome-wide association studies

Marylyn D. Ritchie, Yukiko Bradford, Shefali S. Verma, 2017, BMC Bioinformatics.

Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma

Marylyn D. Ritchie, Scott M. Dudek, Do Kyoon Kim, 2014, Pacific Symposium on Biocomputing.

Neural network-based multiomics data integration in Alzheimer's disease

Marylyn D. Ritchie, Shefali S. Verma, Scott M. Dudek, 2019, GECCO.

ERRATUM: NEXT-GENERATION ANALYSIS OF CATARACTS: DETERMINING KNOWLEDGE DRIVEN GENE-GENE INTERACTIONS USING BIOFILTER, AND GENE-ENVIRONMENT INTERACTIONS USING THE PHENX TOOLKIT.

Marylyn D. Ritchie, Scott M. Dudek, John R. Wallace, 2015, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance

Marylyn D. Ritchie, David M. Reif, Scott M. Dudek, 2008, GECCO '08.

Pacific Symposium on Biocomputing 14:368-379 (2009) BIOFILTER: A KNOWLEDGE-INTEGRATION SYSTEM FOR THE MULTI-LOCUS ANALYSIS OF GENOME-WIDE ASSOCIATION STUDIES *

Marylyn D. Ritchie, William S. Bush, Scott M. Dudek, 2022 .

Data Simulation Software for Whole-Genome Association and Other Studies in Human Genetics

Marylyn D. Ritchie, Scott M. Dudek, Alison A. Motsinger-Reif, 2005, Pacific Symposium on Biocomputing.

Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA

Marylyn D. Ritchie, William S. Bush, Eric Torstenson, 2008, EvoBIO.

Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus

Marylyn D. Ritchie, William S. Bush, Scott M. Dudek, 2010, Bioinform..

Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci

Marylyn D. Ritchie, Scott M. Dudek, Stephen D. Turner, 2010, EvoBIO.

Pathway analysis by randomization incorporating structure - PARIS: an update

Marylyn D. Ritchie, Scott M. Dudek, Alex T. Frase, 2016, Bioinform..

Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects

Marylyn D. Ritchie, Eric Torstenson, Scott M. Dudek, 2010, GECCO '10.

A simulation study investigating power estimates in Phenome-Wide Association Studies

Marylyn D. Ritchie, Anurag Verma, Scott M. Dudek, 2017 .

Knowledge-driven genomic interactions: an application in ovarian cancer

Marylyn D. Ritchie, Scott M. Dudek, Do Kyoon Kim, 2014, BioData Mining.

Visualizing genomic information across chromosomes with PhenoGram

Marylyn D. Ritchie, Scott M. Dudek, Sarah A. Pendergrass, 2013, BioData Mining.

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network

Marylyn D. Ritchie, Yukiko Bradford, Scott M. Dudek, 2016, BioData Mining.

Comparison of Neural Network Optimization Approaches for Studies of Human Genetics

Lance W. Hahn, Marylyn D. Ritchie, Scott M. Dudek, 2006, EvoWorkshops.

A General Framework for Formal Tests of Interaction after Exhaustive Search Methods with Applications to MDR and MDR-PDT

Marylyn D. Ritchie, Scott M. Dudek, Todd L. Edwards, 2010, PloS one.

A knowledge-driven interaction analysis reveals potential neurodegenerative mechanism of multiple sclerosis susceptibility

Ludwig Kappos, Stephen L. Hauser, Marylyn D. Ritchie, 2010, Genes and Immunity.

Discovery of gene-gene interactions across multiple independent data sets of late onset Alzheimer disease from the Alzheimer Disease Genetics Consortium

Margaret A. Pericak-Vance, Marylyn D. Ritchie, Tricia A. Thornton-Wells, 2016, Neurobiology of Aging.

VRILLE Feeds Back to Control Circadian Transcription of Clock in the Drosophila Circadian Oscillator

Scott M. Dudek, Paul E. Hardin, Jerry H. Houl, 2003, Neuron.