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

Tekijä Kosnik, Marissa B., Reif, David M.
Julkaisussa Toxicol Appl Pharmacol (2019)

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

Tekijä To, Kimberly T., Fry, Rebecca C., Reif, David M.
Julkaisussa BioData Min (2018)

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

Tekijä Reif, David M., Israel, Mark A., Moore, Jason H.
Julkaistu 2007

Incorporating ToxCast and Tox21 Datasets to Rank Biological Activity of Chemicals at Superfund Sites in North Carolina

Tekijä Tilley, Sloane K., Reif, David M., Fry, Rebecca C.
Julkaisussa Environ Int (2017)

A New Statistical Approach to Characterize Chemical-Elicited Behavioral Effects in High-Throughput Studies Using Zebrafish

Tekijä Zhang, Guozhu, Truong, Lisa, Tanguay, Robert L., Reif, David M.
Julkaisussa PLoS One (2017)

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

Tekijä Roell, Kyle R., Reif, David M., Motsinger-Reif, Alison A.
Julkaisussa Front Pharmacol (2017)

Test Driving ToxCast: Endocrine Profiling for 1858 Chemicals Included in Phase II

Tekijä Filer, Dayne, Patisaul, Heather B., Schug, Thaddeus, Reif, David, Thayer, Kristina
Julkaisussa Curr Opin Pharmacol (2014)

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

Tekijä Ducharme, Nicole A., Reif, David M., Gustafsson, Jan-Ake, Bondesson, Maria
Julkaisussa Reprod Toxicol (2014)

Multivariate modeling of engineered nanomaterial features associated with developmental toxicity

Tekijä To, Kimberly T., Truong, Lisa, Edwards, Sabrina, Tanguay, Robert L., Reif, David M.
Julkaisussa NanoImpact (2019)

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

Tekijä Motsinger, Alison A., Reif, David M., Dudek, Scott M., Ritchie, Marylyn D.
Julkaistu 2006

Aggregate Entropy Scoring for Quantifying Activity across Endpoints with Irregular Correlation Structure

Tekijä Zhang, Guozhu, Marvel, Skylar, Truong, Lisa, Tanguay, Robert L., Reif, David M.
Julkaisussa Reprod Toxicol (2016)

Inappropriate Citation of Vaccine Article

Tekijä Reif, David M, Chanock, Stephen J, Edwards, Kathryn M, Crowe, James E
Julkaisussa J Infect Dis (2019)

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

Tekijä Martin, Matthew T., Judson, Richard S., Reif, David M., Kavlock, Robert J., Dix, David J.
Julkaistu 2009

Machine Learning for Detecting Gene-Gene Interactions: A Review

Tekijä McKinney, Brett A., Reif, David M., Ritchie, Marylyn D., Moore, Jason H.
Julkaistu 2006

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

Tekijä Gory, Jeffrey J, Sweeney, Holly C, Reif, David M, Motsinger-Reif, Alison A
Julkaistu 2012

A Data-driven Weighting Scheme for Multivariate Phenotypic Endpoints Recapitulates Zebrafish Developmental Cascades

Tekijä Zhang, Guozhu, Roell, Kyle R., Truong, Lisa, Tanguay, Robert L., Reif, David M.
Julkaisussa Toxicol Appl Pharmacol (2016)

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

Tekijä Chiu, Weihsueh A., Guyton, Kathryn Z., Martin, Matthew T., Reif, David M., Rusyn, Ivan
Julkaisussa ALTEX (2017)

Extending the lymphoblastoid cell line model for drug combination pharmacogenomics

Tekijä Green, Adrian J, Anchang, Benedict, Akhtari, Farida S, Reif, David M, Motsinger-Reif, Alison
Julkaisussa Pharmacogenomics (2021)

High-throughput characterization of chemical-associated embryonic behavioral changes predicts teratogenic outcomes

Tekijä Reif, David M., Truong, Lisa, Mandrell, David, Marvel, Skylar, Zhang, Guozhu, Tanguay, Robert L.
Julkaisussa Arch Toxicol (2015)

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

Tekijä Scott Chialvo, Clare H., Che, Ronglin, Reif, David, Motsinger-Reif, Alison, Reed, Laura K.
Julkaisussa Metabolomics (2016)