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Metadata Updated: May 2, 2021

In this work, we introduce a new method for uncertainty quantification in ToxCast data. We explore how unavoidable uncertainties in the data result in uncertainties in concentration-response parameters such as potency and efficacy. These uncertainties are then extended throughout to the analysis and interpretation of results for risk assessment. By quantifying these uncertainties through the analysis stages we increase the confidence in the data interpretation and allow for a more robust risk assessment. We also flag chemicals and assays for manual inspection, removal, and retesting so that data quality and model outputs can be further improved.

This dataset is associated with the following publication: Watt, E., and R. Judson. Uncertainty Quantification in ToxCast High Throughput Screening. PLoS Computational Biology. Public Library of Science, San Francisco, CA, USA, 13(7): 1-23, (2018).

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Public: This dataset is intended for public access and use. License: See this page for license information.

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Metadata Created Date November 12, 2020
Metadata Updated Date May 2, 2021

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date May 2, 2021
Publisher U.S. EPA Office of Research and Development (ORD)
Data Last Modified 2017-09-18
Public Access Level public
Bureau Code 020:00
Schema Version
Harvest Object Id 75d07a90-9f19-4776-bc40-7f1f2c6d564e
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
Program Code 020:095
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents
Source Datajson Identifier True
Source Hash 336b61b6e2af639f772d6737ec3240f98cb48d64
Source Schema Version 1.1

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