metabolism_data_Linakis2020

Metabolism data involved in Linakis et al. 2020 (tools:::Rd_expr_doi("10.1038/s41370-020-0238-y")) vignette analysis.
Metabolism data involved in Linakis 2020 vignette analysis.

data

High throughput toxicokinetics ("HTTK") is the
combination of 1) chemical-specific in vitro measurements or in
silico predictions and 2) generic mathematical models, to
predict absorption, distribution, metabolism, and excretion by the
body. HTTK methods have been described by Pearce et al. (2017)
(<doi:10.18637/jss.v079.i04>) and Breen et al. (2021) (<doi:10.1080/17425255.2021.1935867>).
Here we provide examples (vignettes) applying HTTK to solve various
problems in bioinformatics, toxicology, and exposure science.
In accordance with Davidson-Fritz et al. (2025) (<doi:10.1371/journal.pone.0321321>),
whenever a new HTTK model is developed, the code to generate the
figures evaluating that model is added as a new vignettte.

John Wambaugh

httkexamples

High-Throughput Toxicokinetics Examples

Robert Pearce

Caroline Ring

Greg Honda

Matt Linakis

Dustin Kapraun

Kimberly Truong

Meredith Scherer

Annabel Meade

Celia Schacht

Elaina Kenyon

metabolism_data_Linakis2020 function

A data.frame containing x rows and y columns.
A data.frame containing x rows and y columns.

Format

Author

Metabolism data involved in Linakis et al. 2020 (tools:::Rd_expr_doi("10.1038/s41370-020-0238-y")) vignette analysis. — metabolism_data_Linakis2020

Metabolism data involved in Linakis et al. 2020 (tools:::Rd_expr_doi("10.1038/s41370-020-0238-y")) vignette analysis.

metabolism_data_Linakis2020: Metabolism data involved in Linakis et al. 2020 (tools:::Rd_expr_doi("10.1038/s41370-020-0238-y")) vignette analysis.

Description

Usage

Arguments

Format

Author

References