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#1 Federal

Honda_Wambaugh_Using the concordance of in vitro and in vivo data to evaluate extrapolation assumptions

Organization: U.S. Environmental Protection Agency
Dataset Last Updated: April 25, 2019

All relevant data are within the manuscript, its Supporting Information files, and the httk R software package v1.9.2. This dataset is associated with the following publication: Honda, G., R....

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Search relevance: 1.00 | Views last month: 5 | Catalog Last Checked: August 03, 2026 at 12:44 AM

#2 Federal

Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics

Organization: U.S. Environmental Protection Agency
Dataset Last Updated: June 16, 2022

All data used for these analyses are publicly available, either through CPDat, ToxRefDB, or the CompTox Chemicals Dashboard. Script associated with these analyses are publicly available through...

Search relevance: 1.00 | Views last month: 1 | Catalog Last Checked: August 03, 2026 at 12:48 AM

#3 Federal

In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning

Organization: U.S. Environmental Protection Agency
Dataset Last Updated: December 22, 2017

QSAR Model Reporting Formats. Examples of R code: feature selection and regression analysis. Figure S1: Data distribution of logBCF, BP, MP and logVP. Figures S2–S5: Relationship between model...

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Search relevance: 1.00 | Views last month: 1 | Catalog Last Checked: August 03, 2026 at 12:44 AM

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Honda_Wambaugh_Using the concordance of in vitro and in vivo data to evaluate extrapolation assumptions

Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics

In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning