richard judson

Affiliations: 
US EPA, Chicago, IL, United States 
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"richard judson"
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Harrill JA, Everett LJ, Haggard DE, et al. (2023) Exploring the Effects of Experimental Parameters and Data Modeling Approaches on In Vitro Transcriptomic Point-of-Departure Estimates. Toxicology. 153694
Reardon AJF, Farmahin R, Williams A, et al. (2023) From vision toward best practices: Evaluating transcriptomic points of departure for application in risk assessment using a uniform workflow. Frontiers in Toxicology. 5: 1194895
Aurisano N, Jolliet O, Chiu WA, et al. (2023) Probabilistic Points of Departure and Reference Doses for Characterizing Human Noncancer and Developmental/Reproductive Effects for 10,145 Chemicals. Environmental Health Perspectives. 131: 37016
Shah I, Bundy J, Chambers B, et al. (2022) Navigating Transcriptomic Connectivity Mapping Workflows to Link Chemicals with Bioactivities. Chemical Research in Toxicology
Kapraun DF, Sfeir M, Pearce R, et al. (2022) Evaluation of a Rapid, Generic Human Gestational Dose Model. Reproductive Toxicology (Elmsford, N.Y.)
Nyffeler J, Willis C, Harris FR, et al. (2022) Combining phenotypic profiling and targeted RNA-Seq reveals linkages between transcriptional perturbations and chemical effects on cell morphology: Retinoic acid as an example. Toxicology and Applied Pharmacology. 444: 116032
Bundy JL, Judson R, Williams AJ, et al. (2022) Predicting molecular initiating events using chemical target annotations and gene expression. Biodata Mining. 15: 7
Patlewicz G, Dean JL, Gibbons CF, et al. (2022) Integrating publicly available information to screen potential candidates for chemical prioritization under the Toxic Substances Control Act: A proof of concept case study using genotoxicity and carcinogenicity. Computational Toxicology (Amsterdam, Netherlands). 20: 1-100185
Sheffield T, Brown J, Davidson S, et al. (2021) tcplfit2: an R-language general purpose concentration-response modeling package. Bioinformatics (Oxford, England)
Pradeep P, Judson R, DeMarini DM, et al. (2021) Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental Dataset. Computational Toxicology (Amsterdam, Netherlands). 18
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