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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 |