David M. Reif

发表

The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning

Skylar W. Marvel, John S. House, Matthew Wheeler, 2020, medRxiv.

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.

A statistical comparison of grammatical evolution strategies in the domain of human genetics

Jason H. Moore, Bill C. White, David M. Reif, 2005, Congress on Evolutionary Computation.

Integrated analysis of genetic and proteomic data.

David M. Reif, D. Reif, 2006 .

Evaporative cooling feature selection for genotypic data involving interactions

Jason H. Moore, Bill C. White, David M. Reif, 2007, Bioinform..

A comparison of GE optimized neural networks and decision trees

David M. Reif, Alison A. Motsinger-Reif, Kristopher Hoover, 2012, GECCO '12.

A Computational Model Predicting Disruption of Blood Vessel Development

David Dix, David M. Reif, Richard Spencer, 2013, PLoS Comput. Biol..

ToxPi GUI: an interactive visualization tool for transparent integration of data from diverse sources of evidence

Fred A. Wright, Ivan Rusyn, David M. Reif, 2013, Bioinform..

Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data

Jason H. Moore, Bill C. White, David M. Reif, 2003, GECCO.

Computational Methods Used in Systems Biology

David M. Reif, Michele Meisner, D. Reif, 2015 .

A chemical–biological similarity-based grouping of complex substances as a prototype approach for evaluating chemical alternatives† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c6gc01147k Click here for additional data file.

Fred A. Wright, Ivan Rusyn, David M. Reif, 2016, Green chemistry : an international journal and green chemistry resource : GC.

Exploratory Visual Analysis of Statistical Results from Microarray Experiments Comparing High and Low Grade Glioma

Jason H. Moore, David M. Reif, Mark A. Israel, 2007, Cancer informatics.

Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types

Jason H. Moore, David M. Reif, Brett A. McKinney, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

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.

Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks

Marylyn D. Ritchie, David M. Reif, Alison A. Motsinger-Reif, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Integrating Morphological and Behavioral Phenotypes in Developing Zebrafish

David M. Reif, Guozhu Zhang, Robert L. Tanguay, 2017 .

Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes

Pierre R. Bushel, David M. Reif, Stephen W. Edwards, 2013, BMC Systems Biology.

Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi

David M. Reif, Rebecca C. Fry, Kimberly To, 2018, BioData Mining.

Using ToxCast™ Data to Reconstruct Dynamic Cell State Trajectories and Estimate Toxicological Points of Departure

David M. Reif, Imran Shah, Russell S. Thomas, 2015, Environmental health perspectives.

Optimization of grammatical evolution decision trees

David M. Reif, Alison A. Motsinger-Reif, Kristopher Hoover, 2011, GECCO '11.

ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models

Skylar W. Marvel, Fred A. Wright, Ivan Rusyn, 2018, BMC Bioinformatics.

Integration of curated and high-throughput screening data to elucidate environmental influences on disease pathways

Carolyn J. Mattingly, Skylar W. Marvel, David M. Reif, 2019, Computational toxicology.

A statistical comparison of grammatical evolution strategies in the domain of human genetics

Jason H. Moore, Bill C. White, David M. Reif, 2005, 2005 IEEE Congress on Evolutionary Computation.

An Introduction to Terminology and Methodology of Chemical Synergy—Perspectives from Across Disciplines

David M. Reif, Alison A. Motsinger-Reif, A. Motsinger-Reif, 2017, Front. Pharmacol..

Profiling 976 ToxCast Chemicals across 331 Enzymatic and Receptor Signaling Assays

David M. Reif, Richard S. Judson, Ann M. Richard, 2013, Chemical research in toxicology.

Advancing Toxicology Research Using In Vivo High Throughput Toxicology with Small Fish Models

Carolyn J. Mattingly, David M. Reif, David Allen, 2016, ALTEX.

Integrated Analysis of Blood Gene Expression Data with Demographic, Clinical, and Environmental Exposure Information To Identify Subtypes of Childhood Asthma.

David M. Reif, Stephen W. Edwards, Brooke L Heidenfelder, 2009, ATS 2009.

Environmental Impact on Vascular Development Predicted by High-Throughput Screening

David M. Reif, Richard S. Judson, David J. Dix, 2011, Environmental health perspectives.

Endocrine Profiling and Prioritization of Environmental Chemicals Using ToxCast Data

David M. Reif, Richard S. Judson, Ann M. Richard, 2010, Environmental health perspectives.

Evaluation of 309 Environmental Chemicals Using a Mouse Embryonic Stem Cell Adherent Cell Differentiation and Cytotoxicity Assay

David M. Reif, Marianne Barrier, Richard S. Judson, 2011, PloS one.

Integrating Demographic, Clinical, and Environmental Exposure Information to Identify Genomic Biomarkers Associated with Subtypes of Childhood Asthma

David M. Reif, Stephen W. Edwards, Brooke L Heidenfelder, 2008 .

Using Nuclear Receptor Activity to Stratify Hepatocarcinogens

David M. Reif, Imran Shah, John Wambaugh, 2011, PloS one.

Profiling Chemicals Based on Chronic Toxicity Results from the U.S. EPA ToxRef Database

David M. Reif, Richard S. Judson, David J. Dix, 2008, Environmental health perspectives.

Using in Vitro High Throughput Screening Assays to Identify Potential Endocrine-Disrupting Chemicals

Ruili Huang, Menghang Xia, David M. Reif, 2012, Environmental health perspectives.

Predictive Model of Rat Reproductive Toxicity from ToxCast High Throughput Screening1

David M. Reif, Richard S. Judson, David J. Dix, 2011, Biology of reproduction.

Confirmation of high-throughput screening data and novel mechanistic insights into FXR-xenobiotic interactions by orthogonal assays

David M. Reif, Mélaine A. Kuenemann, Jill A. Franzosa, 2022, Current research in toxicology.

Evolutionary and Functional Diversification of the Vitamin D Receptor-Lithocholic Acid Partnership

David M. Reif, D. Reif, M. Hawkins, 2016, PloS one.

In vitro perturbations of targets in cancer hallmark processes predict rodent chemical carcinogenesis.

Robert J Kavlock, David M. Reif, Imran Shah, 2013, Toxicological sciences : an official journal of the Society of Toxicology.

Impact of Low-Dose Oral Exposure to Bisphenol A (BPA) on Juvenile and Adult Rat Exploratory and Anxiety Behavior: A CLARITY-BPA Consortium Study.

David M. Reif, D. Aylor, D. Reif, 2015, Toxicological sciences : an official journal of the Society of Toxicology.

Aggregating Data for Computational Toxicology Applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System

David M. Reif, Richard S. Judson, Parth Kothiya, 2012, International journal of molecular sciences.

Children’s Environmental Health: A Systems Approach for Anticipating Impacts from Chemicals

David M. Reif, D. Reif, John C. Little, 2020, International journal of environmental research and public health.

The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning

Skylar W. Marvel, David M. Reif, I. Rusyn, 2021, Environmental health perspectives.

Elucidating Gene-by-Environment Interactions Associated with Differential Susceptibility to Chemical Exposure

David M. Reif, Robert L. Tanguay, D. Reif, 2018, Environmental health perspectives.

Comparison of National Vulnerability Indices Used by the Centers for Disease Control and Prevention for the COVID-19 Response

David M. Reif, D. Reif, A. Wolkin, 2022, Public health reports.

The multi-dimensional embryonic zebrafish platform predicts flame retardant bioactivity.

Skylar W. Marvel, David M. Reif, D. Reif, 2020, Reproductive toxicology.

Determination of chemical-disease risk values to prioritize connections between environmental factors, genetic variants, and human diseases.

David M. Reif, D. Reif, M. B. Kosnik, 2019, Toxicology and applied pharmacology.

Prioritizing Environmental Chemicals for Obesity and Diabetes Outcomes Research: A Screening Approach Using ToxCast™ High-Throughput Data

David M. Reif, Scott Auerbach, Daniel Svoboda, 2016, Environmental health perspectives.

Multiomic Big Data Analysis Challenges: Increasing Confidence in the Interpretation of Artificial Intelligence Assessments.

David M. Reif, Melanie T Odenkirk, D. Reif, 2021, Analytical chemistry.

Associations between access to healthcare, environmental quality, and end-stage renal disease survival time: Proportional-hazards models of over 1,000,000 people over 14 years

David M. Reif, D. Reif, J. Hoppin, 2019, PloS one.

A comparison of internal model validation methods for multifactor dimensionality reduction in the case of genetic heterogeneity

David M. Reif, A. Motsinger-Reif, Holly C Sweeney, 2012, BMC Research Notes.

Wildfires and extracellular vesicles: Exosomal MicroRNAs as mediators of cross-tissue cardiopulmonary responses to biomass smoke

David M. Reif, D. Reif, I. Jaspers, 2022, Environment international.

Utilizing Aggregated Molecular Phenotype (AMP) Scores to Visualize Simultaneous Molecular Changes in Mass Spectrometry Imaging Data

David M. Reif, D. Reif, L. Eberlin, 2023, bioRxiv.

Profiling of the Tox21 10K compound library for agonists and antagonists of the estrogen receptor alpha signaling pathway

David M. Reif, Daniel M. Rotroff, R. Judson, 2014, Scientific Reports.

Systematic developmental toxicity assessment of a structurally diverse library of PFAS in zebrafish

Skylar W. Marvel, David M. Reif, D. Reif, 2022, Journal of hazardous materials.

In Vitro Screening of Environmental Chemicals for Targeted Testing Prioritization: The ToxCast Project

David M. Reif, Holly M. Mortensen, Daniel M. Rotroff, 2009, Environmental health perspectives.

Incorporating ToxCast and Tox21 datasets to rank biological activity of chemicals at Superfund sites in North Carolina.

David M. Reif, David M Reif, Sloane K Tilley, 2017, Environment international.

Predictive models of prenatal developmental toxicity from ToxCast high-throughput screening data.

Robert J Kavlock, David M. Reif, Thomas B Knudsen, 2011, Toxicological sciences : an official journal of the Society of Toxicology.

Activity profiles of 309 ToxCast™ chemicals evaluated across 292 biochemical targets.

David M. Reif, Holly M. Mortensen, Nisha S. Sipes, 2011, Toxicology.

Xenobiotic-Metabolizing Enzyme and Transporter Gene Expression in Primary Cultures of Human Hepatocytes Modulated by Toxcast Chemicals

David M. Reif, Richard S Judson, Andrew L Beam, 2010, Journal of toxicology and environmental health. Part B, Critical reviews.

Impact of environmental chemicals on key transcription regulators and correlation to toxicity end points within EPA's ToxCast program.

Robert J Kavlock, David M. Reif, Ann M Richard, 2010, Chemical research in toxicology.

Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms

Robert J Kavlock, David M. Reif, Ann M Richard, 2014, Nature Biotechnology.

Genetic basis for adverse events after smallpox vaccination.

David M. Reif, Alison A Motsinger, James E Crowe, 2008, The Journal of infectious diseases.

Genetic Basis for Adverse Events Following Smallpox Vaccination

David M. Reif, B. McKinney, D. Reif, 2019 .

Using in Vitro High Throughput Screening Assays to Identify Potential Endocrine-Disrupting Chemicals

David M. Reif, Daniel M. Rotroff, R. Judson, 2012, Environmental health perspectives.

Predictive endocrine testing in the 21st century using in vitro assays of estrogen receptor signaling responses.

Ruili Huang, Menghang Xia, David M. Reif, 2014, Environmental science & technology.

Analysis of eight oil spill dispersants using rapid, in vitro tests for endocrine and other biological activity.

David M. Reif, R. Judson, D. Dix, 2010, Environmental science & technology.

Combinatorial Pharmacogenetics

David M. Reif, Jason H. Moore, R. Wilke, 2005, Nature Reviews Drug Discovery.

Machine Learning for Detecting Gene-Gene Interactions

David M. Reif, Jason H. Moore, B. McKinney, 2006, Applied bioinformatics.

Uncovering Evidence for Endocrine-Disrupting Chemicals That Elicit Differential Susceptibility through Gene-Environment Interactions

David M. Reif, D. Reif, J. L. La Du, 2021, Toxics.

Transgenerational inheritance of neurobehavioral and physiological deficits from developmental exposure to benzo[a]pyrene in zebrafish

Skylar W. Marvel, David M. Reif, Robert L. Tanguay, 2017, Toxicology and applied pharmacology.

Comparing metabolomic and pathologic biomarkers alone and in combination for discriminating Alzheimer’s disease from normal cognitive aging

David M. Reif, O. Fiehn, J. Trojanowski, 2013, Acta neuropathologica communications.

Molecular Cloning, Functional Characterization, and Evolutionary Analysis of Vitamin D Receptors Isolated from Basal Vertebrates

David M. Reif, D. Reif, M. Hawkins, 2015, PloS one.

Machine Learning for Detecting Gene-Gene Interactions: A Review

David M. Reif, Jason H. Moore, B. McKinney, 2011 .

Systematic determination of the relationship between nanoparticle core diameter and toxicity for a series of structurally analogous gold nanoparticles in zebrafish

David M. Reif, Robert L. Tanguay, Brandi L. Baldock, 2019, Nanotoxicology.

Zebrafish developmental screening of the ToxCast™ Phase I chemical library.

David M. Reif, N Kleinstreuer, D J Dix, 2012, Reproductive toxicology.

Multidimensional in vivo hazard assessment using zebrafish.

David M. Reif, Lisa Truong, Robert L. Tanguay, 2014, Toxicological sciences : an official journal of the Society of Toxicology.

Dosimetric anchoring of in vivo and in vitro studies for perfluorooctanoate and perfluorooctanesulfonate.

David M. Reif, Nisha S. Sipes, R. Judson, 2013, Toxicological sciences : an official journal of the Society of Toxicology.

Toxicity Testing in the 21st Century Beyond Environmental Chemicals

David M. Reif, Mardas Daneshian, Jean-Pierre Valentin, 2018, ALTEX.

Use of high-throughput in vitro toxicity screening data in cancer hazard evaluations by IARC Monograph Working Groups.

Ivan Rusyn, David M. Reif, Weihsueh A Chiu, 2018, ALTEX.

MKX-AS1 Gene Expression Associated with Variation in Drug Response to Oxaliplatin and Clinical Outcomes in Colorectal Cancer Patients

David M. Reif, Tammy M. Havener, Adrian J. Green, 2023, Pharmaceuticals.

Data-Driven Asthma Endotypes Defined from Blood Biomarker and Gene Expression Data

David M. Reif, Stephen W. Edwards, ClarLynda R. Williams-DeVane, 2015, PloS one.

Update on EPA's ToxCast program: providing high throughput decision support tools for chemical risk management.

David M. Reif, Daniel M. Rotroff, Nisha S. Sipes, 2012, Chemical research in toxicology.

Synergistic Chemotherapy Drug Response Is a Genetic Trait in Lymphoblastoid Cell Lines

David M. Reif, Tammy M. Havener, T. Wiltshire, 2019, Front. Genet..

Comparative microarray analysis and pulmonary changes in Brown Norway rats exposed to ovalbumin and concentrated air particulates.

David M. Reif, Stephen W. Edwards, Brooke L Heidenfelder, 2009, Toxicological sciences : an official journal of the Society of Toxicology.

Utilizing Pine Needles to Temporally and Spatially Profile Per- and Polyfluoroalkyl Substances

David M. Reif, D. Reif, S. Belcher, 2021, bioRxiv.

Evaluation of genetic susceptibility to childhood allergy and asthma in an African American urban population

David M. Reif, Stephen W. Edwards, Bonnie R. Joubert, 2011, BMC Medical Genetics.

Advancing Exposure Science through Chemical Data Curation and Integration in the Comparative Toxicogenomics Database

Thomas C. Wiegers, David M. Reif, Cynthia J. Grondin, 2016, Environmental health perspectives.

Incorporating exposure information into the toxicological prioritization index decision support framework.

David M. Reif, Richard S Judson, Elaine A Cohen Hubal, 2012, The Science of the total environment.

Sex-specific effects of perinatal FireMaster® 550 (FM 550) exposure on socioemotional behavior in prairie voles.

David M. Reif, D. Reif, H. Patisaul, 2019, Neurotoxicology and teratology.

Neonatal mice exposed to a high-fat diet in utero influence the behaviour of their nursing dam

David M. Reif, Kimberly To, Michael Cowley, 2018, Proceedings of the Royal Society B.

Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology

David M. Reif, Adrian J. Green, Martin J. Mohlenkamp, 2021, PLoS Comput. Biol..

Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

David M. Reif, Rebecca R. Boyles, C. Ward‐Caviness, 2022, Frontiers in Toxicology.

Embracing Complexity: Searching for Gene-Gene and Gene Environment Interactions in Genetic Epidemiology

David M. Reif, D. Reif, A. Motsinger, 2015 .

Novel methods for detecting epistasis in pharmacogenomics studies.

David M. Reif, M. Ritchie, D. Reif, 2007, Pharmacogenomics.

Population genetic diversity in zebrafish lines

David M. Reif, Robert L. Tanguay, D. Reif, 2018, Mammalian Genome.

Hierarchical dose–response modeling for high‐throughput toxicity screening of environmental chemicals

David M. Reif, David M Reif, Brian J Reich, 2014, Biometrics.

ToxCast: Predicting Toxicity Potential Through High‐Throughput Bioactivity Profiling

David M. Reif, R. Judson, A. Richard, 2013 .

Incorporating biological, chemical, and toxicological knowledge into predictive models of toxicity.

Robert J Kavlock, David M. Reif, Ann M Richard, 2012, Toxicological sciences : an official journal of the Society of Toxicology.

Letter to editor incorporating Biological, Chemical, and t oxicological Knowledge into Predictive Models of t oxicity

David M. Reif, Nisha S. Sipes, R. Judson, 2012 .

Incorporating human dosimetry and exposure into high-throughput in vitro toxicity screening.

Robert J Kavlock, Harvey J Clewell, Melvin E Andersen, 2010, Toxicological sciences : an official journal of the Society of Toxicology.

Analysis of the Effects of Cell Stress and Cytotoxicity onIn Vitro Assay Activity Across a Diverse Chemical and Assay Space

David M. Reif, Daniel M. Rotroff, Nisha S. Sipes, 2016, Toxicological sciences : an official journal of the Society of Toxicology.

Editor's Highlight: Analysis of the Effects of Cell Stress and Cytotoxicity on In Vitro Assay Activity Across a Diverse Chemical and Assay Space.

Ruili Huang, Menghang Xia, David M. Reif, 2016, Toxicological sciences : an official journal of the Society of Toxicology.

Research needs for community-based risk assessment: findings from a multi-disciplinary workshop

David M. Reif, Deborah Segal, Elaine Cohen Hubal, 2010, Journal of Exposure Science and Environmental Epidemiology.

Pharmacogenomic Analyses Implicate B Cell Developmental Status and MKL1 as Determinants of Sensitivity toward Anti-CD20 Monoclonal Antibody Therapy

David M. Reif, Tammy M. Havener, Adrian J. Green, 2023, Cells.

Aggregated Molecular Phenotype Scores: Enhancing Assessment and Visualization of Mass Spectrometry Imaging Data for Tissue-Based Diagnostics.

David M. Reif, L. Eberlin, Erin S. Baker, 2023, Analytical chemistry.

Test driving ToxCast: endocrine profiling for 1858 chemicals included in phase II.

David M. Reif, T. Schug, D. Reif, 2014, Current opinion in pharmacology.

High-throughput models for exposure-based chemical prioritization in the ExpoCast project.

David M. Reif, R. Judson, T. Knudsen, 2013, Environmental science & technology.

Population-based toxicity screening in human induced pluripotent stem cell-derived cardiomyocytes.

David M. Reif, Fabian A. Grimm, I. Rusyn, 2019, Toxicology and applied pharmacology.

Perspectives on validation of high-throughput assays supporting 21st century toxicity testing.

Thomas Hartung, Ruili Huang, Raymond R Tice, 2013, ALTEX.

RYK Gene Expression Associated with Drug Response Variation of Temozolomide and Clinical Outcomes in Glioma Patients

David M. Reif, Tammy M. Havener, Adrian J. Green, 2023, Pharmaceuticals.

From the Cover: Embryonic Exposure to TCDD Impacts Osteogenesis of the Axial Skeleton in Japanese medaka, Oryzias latipes

David M. Reif, C. Mattingly, D. Reif, 2017, Toxicological sciences : an official journal of the Society of Toxicology.

ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models

Skylar W. Marvel, David M. Reif, Fabian A. Grimm, 2018, BMC Bioinformatics.

Impact of Low-Dose Oral Exposure to Bisphenol A (BPA) on Juvenile and Adult Rat Exploratory and Anxiety Behavior: A CLARITY-BPA Consortium Study.

David M. Reif, David L. Aylor, H. Patisaul, 2015, Toxicological sciences : an official journal of the Society of Toxicology.

Confirmation of high-throughput screening data and novel mechanistic insights into VDR-xenobiotic interactions by orthogonal assays

David M. Reif, Mélaine A. Kuenemann, Jill A. Franzosa, 2018, Scientific Reports.

Multivariate modeling of engineered nanomaterial features associated with developmental toxicity.

David M. Reif, Robert L. Tanguay, D. Reif, 2019, NanoImpact.

Leveraging high-throughput screening data and conditional generative adversarial networks to advance predictive toxicology

David M. Reif, Adrian J. Green, Martin J. Mohlenkamp, 2020, bioRxiv.

High-throughput screening and genome-wide analyses of 44 anticancer drugs in the 1000 Genomes cell lines reveals an association of the NQO1 gene with the response of multiple anticancer drugs

David M. Reif, Tammy M. Havener, Adrian J. Green, 2021, PLoS genetics.

Cytokine expression patterns associated with systemic adverse events following smallpox immunization.

David M. Reif, Jason H. Moore, S. Kingsmore, 2006, The Journal of infectious diseases.

Analysis of eight oil spill dispersants using rapid, in vitro tests for endocrine and other biological activity.

David M. Reif, Daniel M. Rotroff, R. Judson, 2010, Environmental science & technology.

Integrated analysis of genetic, genomic and proteomic data

David M. Reif, Jason H. Moore, B. C. White, 2004, Expert review of proteomics.

Aggregate entropy scoring for quantifying activity across endpoints with irregular correlation structure.

Skylar W. Marvel, David M. Reif, Lisa Truong, 2016, Reproductive toxicology.

Structural-based connectivity and omic phenotype evaluations (SCOPE): a cheminformatics toolbox for investigating lipidomic changes in complex systems.

David M. Reif, Denis Fourches, Jeremy R. Ash, 2020, The Analyst.

In vivo assessment of respiratory burst inhibition by xenobiotic exposure using larval zebrafish

David M. Reif, D. Reif, D. Tokarz, 2020, Journal of immunotoxicology.

A data‐driven weighting scheme for multivariate phenotypic endpoints recapitulates zebrafish developmental cascades

David M. Reif, Robert L. Tanguay, D. Reif, 2017, Toxicology and applied pharmacology.

Comparison of toxicity values across zebrafish early life stages and mammalian studies: Implications for chemical testing.

David M. Reif, Nicole A. Ducharme, J. Gustafsson, 2015, Reproductive toxicology.

A comparison of analytical methods for genetic association studies

David M. Reif, Marylyn D Ritchie, David M Reif, 2008, Genetic epidemiology.

Concentration–response evaluation of ToxCast compounds for multivariate activity patterns of neural network function

Skylar W. Marvel, David M. Reif, A. Richard, 2019, Archives of Toxicology.

Implementation of Zebrafish Ontologies for Toxicology Screening

Skylar W. Marvel, David M. Reif, Mitchell S. Wilbanks, 2022, Frontiers in Toxicology.

Meta-analysis of toxicity and teratogenicity of 133 chemicals from zebrafish developmental toxicity studies.

David M. Reif, Leif E. Peterson, Nicole A. Ducharme, 2013, Reproductive toxicology.

Eigenvector metabolite analysis reveals dietary effects on the association among metabolite correlation patterns, gene expression, and phenotypes

David M. Reif, A. Motsinger-Reif, L. Reed, 2016, Metabolomics.

HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston–Galveston–Brazoria Region

Skylar W. Marvel, David M. Reif, Weihsueh A Chiu, 2020, International journal of environmental research and public health.

ToxPi*GIS Toolkit: creating, viewing, and sharing integrative visualizations for geospatial data using ArcGIS

Skylar W. Marvel, David M. Reif, A. Motsinger-Reif, 2022, Journal of Exposure Science & Environmental Epidemiology.

Real-time growth kinetics measuring hormone mimicry for ToxCast chemicals in T-47D human ductal carcinoma cells.

Robert J Kavlock, David M. Reif, Ann M Richard, 2013, Chemical research in toxicology.