Jason H. Moore
Orcid: 0000-0002-5015-1099Affiliations:
- University of Pennsylvania, Computational Genetics Laboratory, Philadelphia, PA, USA (since 2015)
- Dartmouth College, Hanover, NH, USA (2004-2015)
- Vanderbilt University, Nashville, TN, USA (1999-2004)
- University of Michigan, Ann Arbor, MI, USA (PhD 1999)
According to our database1,
Jason H. Moore
authored at least 361 papers
between 2000 and 2024.
Collaborative distances:
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Bibliography
2024
Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies.
CoRR, 2024
Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis.
BioData Min., 2024
2023
PLoS Comput. Biol., December, 2023
Genet. Program. Evolvable Mach., December, 2023
Bioinform., October, 2023
Genetics and precision health: the ecological fallacy and artificial intelligence solutions.
BioData Min., January, 2023
BioData Min., January, 2023
STAR_outliers: a python package that separates univariate outliers from non-normal distributions.
BioData Min., January, 2023
LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes.
BioData Min., January, 2023
A flexible symbolic regression method for constructing interpretable clinical prediction models.
npj Digit. Medicine, 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
Proceedings of the Genetic Programming - 26th European Conference, 2023
2022
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Patterns, 2022
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.
Medical Image Anal., 2022
J. Comput. Sci., 2022
SurvMaximin: Robust federated approach to transporting survival risk prediction models.
J. Biomed. Informatics, 2022
CoRR, 2022
Automatically Balancing Model Accuracy and Complexity using Solution and Fitness Evolution (SAFE).
CoRR, 2022
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods.
Bioinform., 2022
BioData Min., 2022
BioData Min., 2022
BioData Min., 2022
Artif. Intell. Medicine, 2022
A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Harnessing electronic health records to study emerging environmental disasters: a proof of concept with perfluoroalkyl substances (PFAS).
npj Digit. Medicine, 2021
J. Open Source Softw., 2021
TargetTox: A Feature Selection Pipeline for Identifying Predictive Targets Associated with Drug Toxicity.
J. Chem. Inf. Model., 2021
Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers.
J. Am. Medical Informatics Assoc., 2021
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.
J. Am. Medical Informatics Assoc., 2021
Genet. Program. Evolvable Mach., 2021
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators.
Genet. Program. Evolvable Mach., 2021
Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers.
CoRR, 2021
Bioinform., 2021
Bioinform., 2021
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions.
BioData Min., 2021
Ten important roles for academic leaders to promote equity, diversity, and inclusion in data science.
BioData Min., 2021
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Raising the stakeholders: Improving patient outcomes through interprofessional collaborations in AI for healthcare.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Computational Science - ICCS 2021, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
EBIC.JL: an efficient implementation of evolutionary biclustering algorithm in Julia.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
PLoS Comput. Biol., 2020
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.
npj Digit. Medicine, 2020
A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patients.
J. Am. Medical Informatics Assoc., 2020
An augmented estimation procedure for EHR-based association studies accounting for differential misclassification.
J. Am. Medical Informatics Assoc., 2020
Learning from local to global: An efficient distributed algorithm for modeling time-to-event data.
J. Am. Medical Informatics Assoc., 2020
Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm.
J. Am. Medical Informatics Assoc., 2020
Genet. Program. Evolvable Mach., 2020
Genet. Program. Evolvable Mach., 2020
A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments.
CoRR, 2020
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses.
BMC Bioinform., 2020
Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning.
Bioinform., 2020
Scaling tree-based automated machine learning to biomedical big data with a feature set selector.
Bioinform., 2020
WellExplorer: an integrative resource linking hydraulic fracturing chemicals with hormonal pathways and geographic location.
Database J. Biol. Databases Curation, 2020
BioData Min., 2020
How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases.
Artif. Life, 2020
Robust-ODAL: Learning from Heterogeneous Health Systems Without Sharing Patient-LevelData.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
SGP-DT: towards effective symbolic regression with a semantic GP approach based on dynamic targets.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2020
Proceedings of the Genetic Programming - 23rd European Conference, 2020
Proceedings of the Genetic Programming - 23rd European Conference, 2020
Extracting Behavioral Determinants of Health from Electronic Health Records: Classifying Yoga Mentions in the Clinic.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Explainable Artificial Intelligence (XAI): Current Approaches and Paths to the Future.
Proceedings of the AMIA 2020, 2020
Harnessing Electronic Health Records to Study Emerging Environmental Disasters: A Proof of Concept with PFAS.
Proceedings of the AMIA 2020, 2020
2019
Gene-Gene Interactions: An Essential Component to Modeling Complexity for Precision Medicine.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019
Swarm Evol. Comput., 2019
BMC Medical Informatics Decis. Mak., 2019
Memetic Comput., 2019
A regression framework to uncover pleiotropy in large-scale electronic health record data.
J. Am. Medical Informatics Assoc., 2019
Integration of genetic and clinical information to improve imputation of data missing from electronic health records.
J. Am. Medical Informatics Assoc., 2019
Genet. Program. Evolvable Mach., 2019
Artificial Intelligence Based Approaches to Identify Molecular Determinants of Exceptional Health and Life Span-An Interdisciplinary Workshop at the National Institute on Aging.
Frontiers Artif. Intell., 2019
A Probabilistic and Multi-Objective Analysis of Lexicase Selection and ε-Lexicase Selection.
Evol. Comput., 2019
Bioinform., 2019
BioData Min., 2019
Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies.
BioData Min., 2019
Translational informatics of population Health: How large biomolecular and clinical datasets unite.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019
Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data?
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions.
Proceedings of the Genetic Programming - 22nd European Conference, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Interpretation of machine learning predictions for patient outcomes in electronic health records.
Proceedings of the AMIA 2019, 2019
Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019
2018
Eleven quick tips for architecting biomedical informatics workflows with cloud computing.
PLoS Comput. Biol., 2018
J. Biomed. Informatics, 2018
J. Biomed. Informatics, 2018
Medication class enrichment analysis: a novel algorithm to analyze multiple pharmacologic exposures simultaneously using electronic health record data.
J. Am. Medical Informatics Assoc., 2018
PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data.
J. Am. Medical Informatics Assoc., 2018
EBIC: an open source software for high-dimensional and big data biclustering analyses.
CoRR, 2018
EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery.
CoRR, 2018
Bioinform., 2018
runibic: a Bioconductor package for parallel row-based biclustering of gene expression data.
Bioinform., 2018
BioData Min., 2018
BioData Min., 2018
Improving machine learning reproducibility in genetic association studies with proportional instance cross validation (PICV).
BioData Min., 2018
Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Leveraging putative enhancer-promoter interactions to investigate two-way epistasis in Type 2 Diabetes GWAS.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III Critical Care Database.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
How computational thought experiments can improve our understanding of the genetic architecture of common human diseases.
Proceedings of the 2018 Conference on Artificial Life, 2018
Proceedings of the 2018 Conference on Artificial Life, 2018
Attribute tracking: strategies towards improved detection and characterization of complex associations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
A multidimensional genetic programming approach for identifying epsistatic gene interactions.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the Handbook of Grammatical Evolution, 2018
2017
$ε$-Lexicase selection: a probabilistic and multi-objective analysis of lexicase selection in continuous domains.
CoRR, 2017
CoRR, 2017
Two-dimensional enrichment analysis for mining high-level imaging genetic associations.
Brain Informatics, 2017
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinform., 2017
BioData Min., 2017
BioData Min., 2017
BioData Min., 2017
Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases.
BioData Min., 2017
Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals.
BioData Min., 2017
Methods for enhancing the reproducibility of biomedical research findings using electronic health records.
BioData Min., 2017
Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery.
BioData Min., 2017
Variant Set Enrichment: an R package to identify disease-associated functional genomic regions.
BioData Min., 2017
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Missing Data Imputation in the Electronic Health Record Using Deeply Learned Autoencoders.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System.
Proceedings of the Genetic Programming Theory and Practice XV, 2017
Proceedings of the Genetic Programming Theory and Practice XV, 2017
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Improving the Reproducibility of Genetic Association Results Using Genotype Resampling Methods.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
A General Feature Engineering Wrapper for Machine Learning Using \epsilon -Lexicase Survival.
Proceedings of the Genetic Programming - 20th European Conference, 2017
2016
BMC Syst. Biol., 2016
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method.
Bioinform., 2016
BioData Min., 2016
Evolutionary triangulation: informing genetic association studies with evolutionary evidence.
BioData Min., 2016
Erratum to: Evolving hard problems: generating human genetics datasets with a complex etiology.
BioData Min., 2016
BioData Min., 2016
The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining.
BioData Min., 2016
Complex systems analysis of bladder cancer susceptibility reveals a role for decarboxylase activity in two genome-wide association studies.
BioData Min., 2016
An Integrated Network Approach to Identifying Biological Pathways and Environmental Exposure Interactions in Complex Diseases.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016
Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool.
Proceedings of the Genetic Programming Theory and Practice XIV, 2016
Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
Proceedings of the Fifteenth International Conference on the Simulation and Synthesis of Living Systems, 2016
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Evol. Intell., 2015
Delay-tolerant networks and network coding: Comparative studies on simulated and real-device experiments.
Comput. Networks, 2015
BioData Min., 2015
BioData Min., 2015
BioData Min., 2015
Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm.
BioData Min., 2015
Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks.
BioData Min., 2015
Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome study.
BioData Min., 2015
Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR).
BioData Min., 2015
Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity.
BioData Min., 2015
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
Genome-Wide Genetic Interaction Analysis of Glaucoma Using Expert Knowledge Derived from Human Phenotype Networks.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
A Bipartite Network Approach to Inferring Interactions Between Environmental Exposures and Human Diseases.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
Continuous Endpoint Data Mining with ExSTraCS: A Supervised Learning Classifier System.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Retooling Fitness for Noisy Problems in a Supervised Michigan-style Learning Classifier System.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015
2014
Phenotypic Robustness and the Assortativity Signature of Human Transcription Factor Networks.
PLoS Comput. Biol., 2014
Influence networks based on coexpression improve drug target discovery for the development of novel cancer therapeutics.
BMC Syst. Biol., 2014
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.
Bioinform., 2014
Optimization of gene set annotations via entropy minimization over variable clusters (EMVC).
Bioinform., 2014
BioData Min., 2014
A Classification and Characterization of Two-Locus, Pure, Strict, Epistatic Models for Simulation and Detection.
BioData Min., 2014
Combining functional genomics strategies identifies modular heterogeneity of breast cancer intrinsic subtypes.
BioData Min., 2014
The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study.
BioData Min., 2014
Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility.
BioData Min., 2014
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
Artif. Life, 2014
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
Using the Bipartite Human Phenotype Network to Reveal Pleiotropy and Epistasis Beyond the Gene.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
Applications of Bioinformatics to Non-Coding RNAs in the Era of Next-Generation Sequencing.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification, and Data Mining.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the International Conference on Computing, Networking and Communications, 2014
Proceedings of the IEEE International Conference on Communications, 2014
Identification of Novel Genetic Models of Glaucoma Using the "EMERGENT" Genetic Programming-Based Artificial Intelligence System.
Proceedings of the Genetic Programming Theory and Practice XII, 2014
Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework.
Proceedings of the Evolution, Complexity and Artificial Life, 2014
2013
Complex and dynamic population structures: synthesis, open questions, and future directions.
Soft Comput., 2013
Research and applications: Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach.
J. Am. Medical Informatics Assoc., 2013
Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies.
J. Am. Medical Informatics Assoc., 2013
A multi-core parallelization strategy for statistical significance testing in learning classifier systems.
Evol. Intell., 2013
BioData Min., 2013
The disconnect between classical biostatistics and the biological data mining community.
BioData Min., 2013
Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis.
BioData Min., 2013
Statistical Epistasis Networks Reduce the Computational Complexity of Searching Three-Locus Genetic Models.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease.
Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013
A simple multi-core parallelization strategy for learning classifier system evaluation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Bipartite networks to study the genotype-to-phenotype relationship in cellular automata models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Optimal Use of Biological Expert Knowledge from Literature Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013
Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013
Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013
Proceedings of the Genetic Programming - 16th European Conference, 2013
Rapid Rule Compaction Strategies for Global Knowledge Discovery in a Supervised Learning Classifier System.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013
An alternative route to robustness: The relationship between assortativity, in-components, and characteristic path length in gene regulatory networks.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013
The influence of assortativity on the robustness and evolvability of gene regulatory networks upon gene birth.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013
Cellular Automata Coevolution of Update Functions and Topologies: A Tradeoff between Accuracy and Speed.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013
Bipartite Networks Show the Genotype-to-Phenotype Relationship in Biological Systems Models: A Study of the Robustness, Evolvability, and Accessibility in Linear Cellular Automata.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013
2012
Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming.
Genet. Program. Evolvable Mach., 2012
An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier Systems.
IEEE Comput. Intell. Mag., 2012
GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures.
BioData Min., 2012
Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection.
BioData Min., 2012
Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS.
BioData Min., 2012
Measuring the microbiome: perspectives on advances in DNA-based techniques for exploring microbial life.
Briefings Bioinform., 2012
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012
Using Expert Knowledge to Guide Covering and Mutation in a Michigan Style Learning Classifier System to Detect Epistasis and Heterogeneity.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
Instance-linked attribute tracking and feedback for michigan-style supervised learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012
Artificial Immune Systems Perform Valuable Work When Detecting Epistasis in Human Genetic Datasets.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012
2011
Toward robust network based complex systems: from evolutionary cellular automata to biological models.
Intelligenza Artificiale, 2011
Characterizing Genetic Interactions in Human Disease Association Studies Using Statistical Epistasis Networks.
BMC Bioinform., 2011
BioData Min., 2011
Proceedings of the Biocomputing 2011: Proceedings of the Pacific Symposium, 2011
Proceedings of the Biocomputing 2011: Proceedings of the Pacific Symposium, 2011
Random artificial incorporation of noise in a learning classifier system environment.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011
Proceedings of the Genetic Programming - 14th European Conference, 2011
Robustness, evolvability, and accessibility in the signal-integration space of gene regulatory circuits.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
The influence of whole genome duplication and subsequent diversification on environmental robustness and evolutionary innovation in gene regulatory networks.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
Distinguishing the effects of epistasis and pleiotropy using a variant of the NK model.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
Addressing the Challenges of Detecting Epistasis in Genome-Wide Association Studies of Common Human Diseases Using Biological Expert Knowledge.
Proceedings of the Handbook of Research on Computational and Systems Biology, 2011
2010
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort.
NeuroImage, 2010
Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS.
Bioinform., 2010
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010
Employing Publically Available Biological Expert Knowledge from Protein-Protein Interaction Information.
Proceedings of the Pattern Recognition in Bioinformatics, 2010
The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies.
Proceedings of the Parallel Problem Solving from Nature, 2010
The application of michigan-style learning classifiersystems to address genetic heterogeneity and epistasisin association studies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing units.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the Evolutionary Computation, 2010
Proceedings of the Applications of Evolutionary Computation, 2010
A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships.
Proceedings of the Evolutionary Computation, 2010
The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics.
Proceedings of the Evolutionary Computation, 2010
Solving Complex Problems in Human Genetics using Nature-Inspired Algorithms Requires Strategies which Exploit Domain-Specific Knowledge.
Proceedings of the Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, 2010
2009
Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions.
BioData Min., 2009
Multifactor dimensionality reduction analysis identifies specific nucleotide patterns promoting genetic polymorphisms.
BioData Min., 2009
Environmental noise improves epistasis models of genetic data discovered using a computational evolution system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease.
Proceedings of the Evolutionary Computation, 2009
An Open-Ended Computational Evolution Strategy for Evolving Parsimonious Solutions to Human Genetics Problems.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009
An Analysis of New Expert Knowledge Scaling Methods for Biologically Inspired Computing.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009
Development and evaluation of an open-ended computational evolution system for the creation of digital organisms with complex genetic architecture.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases.
Proceedings of the Evolutionary Computation, 2008
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008
2007
Genet. Program. Evolvable Mach., 2007
Bioinform., 2007
Genetic programming neural networks: A powerful bioinformatics tool for human genetics.
Appl. Soft Comput., 2007
An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming.
Proceedings of the Pattern Recognition in Bioinformatics, 2007
Towards human-human-computer interaction for biologically-inspired problem-solving in human genetics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the Evolutionary Computation, 2007
2006
Dissecting trait heterogeneity: a comparison of three clustering methods applied to genotypic data.
BMC Bioinform., 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
2005
Proceedings of the Biocomputing 2005, 2005
A statistical comparison of grammatical evolution strategies in the domain of human genetics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Silico Biol., 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
Appl. Soft Comput., 2004
Proceedings of the Genetic and Evolutionary Computation, 2004
Systems Biology Modeling in Human Genetics Using Petri Nets and Grammatical Evolution.
Proceedings of the Genetic and Evolutionary Computation, 2004
An Improved Grammatical Evolution Strategy for Hierarchical Petri Net Modeling of Complex Genetic Systems.
Proceedings of the Applications of Evolutionary Computing, 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
Proceedings of the Genetic and Evolutionary Computation, 2003
Grammatical Evolution for the Discovery of Petri Net Models of Complex Genetic Systems.
Proceedings of the Genetic and Evolutionary Computation, 2003
Cross Validation Consistency for the Assessment of Genetic Programming Results in Microarray Studies.
Proceedings of the Applications of Evolutionary Computing, 2003
2002
A Cellular Automata Approach to Detecting Interactions Among Single-nucleotide Polymorphisms in Complex Multifactorial Diseases.
Proceedings of the 7th Pacific Symposium on Biocomputing, 2002
Cellular Automata and Genetic Algorithms for Parallel Problem Solving in Human Genetics.
Proceedings of the Parallel Problem Solving from Nature, 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
2001
Proceedings of the Machine Learning: EMCL 2001, 2001
2000
Detection of linear and nonlinear dependencies in time series using the method of surrogate data in S-PLUS.
Comput. Methods Programs Biomed., 2000