pradeep2020: Pradeep et al. 2020
In httk: High-Throughput Toxicokinetics
pradeep2020 R Documentation
Pradeep et al. 2020
Description
This table includes Support Vector Machine and Random Forest model predicted
values for unbound fraction plasma protein (fup) and intrinsic hepatic
clearance (clint) values for a subset of chemicals in the Tox21 library
(see https://www.epa.gov/chemical-research/toxicology-testing-21st-century-tox21).
Usage
pradeep2020
Format
data.frame
Details
Prediction were made with Support Vector Machine and Random Forest models,
as reported in Pradeep et al. (2020).
Source
Pradeep et al. 2020 Chemical Structure Predictive Models for HTTK
References
\insertRefpradeep2020chemstrhttk
httk documentation built on March 7, 2023, 7:26 p.m.
R Package Documentation
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| pradeep2020 | R Documentation |
Pradeep et al. 2020
Description
This table includes Support Vector Machine and Random Forest model predicted values for unbound fraction plasma protein (fup) and intrinsic hepatic clearance (clint) values for a subset of chemicals in the Tox21 library (see https://www.epa.gov/chemical-research/toxicology-testing-21st-century-tox21).
Usage
pradeep2020
Format
data.frame
Details
Prediction were made with Support Vector Machine and Random Forest models, as reported in Pradeep et al. (2020).
Source
Pradeep et al. 2020 Chemical Structure Predictive Models for HTTK
References
\insertRefpradeep2020chemstrhttk
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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