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10
of 10 records from [ORD-NCCT] published between 03/25/2014 and 03/25/2019 from author Derik Haggard
2019
Judson, R., I. Shah, Woodrow Setzer, D. Haggard, T. Sheffield, AND J. Harrill. Modeling Pathway Interactions using High-Throughput Transcriptomics Data. Presented at Society of Toxicology (SOT) annual meeting, Baltimore, MD, March 10 - 14, 2019.
Haggard, D., Woodrow Setzer, R. Judson, AND K. Paul-Friedman. Prioritization of chemicals for effects on steroidogenesis using an integrated statistical approach to high-throughput H295R data (SOT). Presented at Society of Toxicology annual meeting, Baltimore, MD, March 10 - 14, 2019. https://doi.org/10.23645/epacomptox.7873802
2018
Harrill, J., I. Shah, Woodrow Setzer, C. Willis, D. Haggard, R. Judson, AND R. Thomas. Concentration-Response Screening of Environmental Chemicals for In Vitro Point-of-Departure Determination using a Targeted RNA-Seq Whole Transcriptome Assay. Society for Laboratory Automation and Screening Conference, San Diego,CA, February 03 - 07, 2018. https://doi.org/10.23645/epacomptox.6950033
Harrill, J., I. Shah, Woodrow Setzer, D. Haggard, M. Martin, R. Judson, S. Malcomber, A. White, AND R. Thomas. Differential Gene Expression and Concentration-Response Modeling Workflow for High-Throughput Transcriptomic (HTTr) Data: Results From MCF7 Cells. Society of Toxicology, San Antonio, TX, March 11 - 15, 2018.
Haggard, D., A. Karmaus, M. Martin, R. Judson, Woodrow Setzer, AND K. Paul-Friedman. Evaluating perturbation of in vitro steroidogenesis using a high-throughput H295R assay. Presented at Society of Toxicology Annual Meeting, San Antonio, Texas, March 11 - 15, 2018. https://doi.org/10.23645/epacomptox.6827660
Haggard, D., A. Karmaus, M. Martin, R. Judson, Woodrow Setzer, AND K. Paul-Friedman. High-throughput H295R steroidogenesis assay: utility as an alternative and a statistical approach to characterize effects on steroidogenesis. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 162(2):509-534, (2018). https://doi.org/10.1093/toxsci/kfx274
Shah, I., J. Harrill, Woodrow Setzer, D. Haggard, R. Judson, A. Karmaus, M. Martin, AND R. Thomas. Predicting Chemical Mechanisms of Action using High-Throughput Transcriptomic Data. Society of Toxicology, San Antonio, TX, March 11 - 15, 2018.
Haggard, Derik E., Woodrow Setzer, R. Judson, AND K. Paul-Friedman. Prioritization of Chemicals for Effects on Steroidogenesis Using an Integrated Statistical Approach to High-Throughput H295R Data. Presented at FutureToxIV - Predictive Toxicology for Healthy Children, Arlington, VA, November 14 - 16, 2018. https://doi.org/10.23645/epacomptox.7488530
2017
Haggard, D., A. Karmaus, M. Martin, R. Judson, Woodrow Setzer, AND K. Paul-Friedman. High-throughput H295R Steroidogenesis Assay: Utility as an Alternative and a Statistical Approach to Characterize Effects on Steroidogenesis. North Carolina Society of Toxicology Meeting, Research Triangle Park,NC, October 30, 2017. https://doi.org/10.23645/epacomptox.6860702
Haggard, D. AND K. Paul-Friedman. High-throughput H295R steroidogenesis assay: utility as an alternative and a statistical approach to characterize effects on steroidogenesis. Presented at Comptox Communities of Practice, RTP, NC, December 14, 2017. https://doi.org/10.23645/epacomptox.6863771