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Federal
Application of systematic evidence mapping to identify available data on the potential human health hazards of selected market-relevant azo dyes
U.S. Environmental Protection Agency —
Background: Azo dyes are used in textiles and leather clothing. Human exposure can occur from wearing textiles containing azo dyes. Since the body’s enzymes and... -
Federal
Code for Predicting MIEs from Gene Expression and Chemical Target Labels with Machine Learning (MIEML)
U.S. Environmental Protection Agency —
Modeling data and analysis scripts generated during the current study are available in the github repository: https://github.com/USEPA/CompTox-MIEML. RefChemDB is... -
Federal
Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research
U.S. Environmental Protection Agency —
The original contributions presented in the study are included in the article and online through the TAME Toolkit, available at: https://uncsrp.github.io/Data-...