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Prachi Pradeep

Showing results (1-10 of 23) with videos related to

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Statistics in Medicine|June 27, 2015
A Bayesian methodology for detecting targeted genes under two related experimentsNaveen K Bansal, Hongmei Jiang, Prachi Pradeep
Regulatory Toxicology and Pharmacology : RTP|October 23, 2019
Evaluating potential refinements to existing Threshold of Toxicological Concern (TTC) values for environmentally-relevant compoundsMark D Nelms, Prachi Pradeep, Grace Patlewicz
Computational Toxicology (Amsterdam, Netherlands)|May 21, 2021
Structure-based QSAR Models to Predict Repeat Dose Toxicity Points of DeparturePrachi Pradeep, Katie Paul Friedman, Richard Judson
Computational Toxicology (Amsterdam, Netherlands)|July 31, 2018
A systematic evaluation of analogs and automated read-across prediction of estrogenicity: A case study using hindered phenolsPrachi Pradeep, Kamel Mansouri, Grace Patlewicz, et al.
Journal of Cheminformatics|March 21, 2017
An ensemble model of QSAR tools for regulatory risk assessmentPrachi Pradeep, Richard J Povinelli, Shannon White, et al.
Environmental and Molecular Mutagenesis|May 19, 2025
Applicability of In Silico New Approach Methods for the Risk Assessment of Tattoo Ink IngredientsPrachi Pradeep, Stefanie Seifert, Ajay Vikram Singh, et al.
Journal of Exposure Science & Environmental Epidemiology|October 13, 2018
Human exposure factors as potential determinants of the heterogeneity in city-specific associations between PM<sub>2.5</sub> and mortalityLisa K Baxter, Kathie Dionisio, Prachi Pradeep, et al.
Regulatory Toxicology and Pharmacology : RTP|October 26, 2018
Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenylsPrachi Pradeep, Laura M Carlson, Richard Judson, et al.
Computational Toxicology (Amsterdam, Netherlands)|June 14, 2021
Using Chemical Structure Information to Develop Predictive Models for <i>In Vitro</i> Toxicokinetic Parameters to Inform High-throughput Risk-assessmentPrachi Pradeep, Grace Patlewicz, Robert Pearce, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 17, 2015
A Novel Scoring Based Distributed Protein Docking Application to Improve EnrichmentPrachi Pradeep, Craig Struble, Terrence Neumann, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Statistics in Medicine|June 27, 2015
A Bayesian methodology for detecting targeted genes under two related experimentsNaveen K Bansal, Hongmei Jiang, Prachi Pradeep
Regulatory Toxicology and Pharmacology : RTP|October 23, 2019
Evaluating potential refinements to existing Threshold of Toxicological Concern (TTC) values for environmentally-relevant compoundsMark D Nelms, Prachi Pradeep, Grace Patlewicz
Computational Toxicology (Amsterdam, Netherlands)|May 21, 2021
Structure-based QSAR Models to Predict Repeat Dose Toxicity Points of DeparturePrachi Pradeep, Katie Paul Friedman, Richard Judson
Computational Toxicology (Amsterdam, Netherlands)|July 31, 2018
A systematic evaluation of analogs and automated read-across prediction of estrogenicity: A case study using hindered phenolsPrachi Pradeep, Kamel Mansouri, Grace Patlewicz, et al.
Journal of Cheminformatics|March 21, 2017
An ensemble model of QSAR tools for regulatory risk assessmentPrachi Pradeep, Richard J Povinelli, Shannon White, et al.
Environmental and Molecular Mutagenesis|May 19, 2025
Applicability of In Silico New Approach Methods for the Risk Assessment of Tattoo Ink IngredientsPrachi Pradeep, Stefanie Seifert, Ajay Vikram Singh, et al.
Journal of Exposure Science & Environmental Epidemiology|October 13, 2018
Human exposure factors as potential determinants of the heterogeneity in city-specific associations between PM<sub>2.5</sub> and mortalityLisa K Baxter, Kathie Dionisio, Prachi Pradeep, et al.
Regulatory Toxicology and Pharmacology : RTP|October 26, 2018
Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenylsPrachi Pradeep, Laura M Carlson, Richard Judson, et al.
Computational Toxicology (Amsterdam, Netherlands)|June 14, 2021
Using Chemical Structure Information to Develop Predictive Models for <i>In Vitro</i> Toxicokinetic Parameters to Inform High-throughput Risk-assessmentPrachi Pradeep, Grace Patlewicz, Robert Pearce, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 17, 2015
A Novel Scoring Based Distributed Protein Docking Application to Improve EnrichmentPrachi Pradeep, Craig Struble, Terrence Neumann, et al.
Pageof 3