wambaugh2019.tox21: Tox21 2015 Active Hit Calls (EPA)
In httk: High-Throughput Toxicokinetics
wambaugh2019.tox21 R Documentation
Tox21 2015 Active Hit Calls (EPA)
Description
The ToxCast and Tox21 research programs employ batteries of high-throughput
assays to assess chemical bioactivity in vitro. Not every chemical is tested
through every assay. Most assays are conducted in concentration response,
and each corresponding assay endpoint is analyzed statistically to determine
if there is a concentration-dependent response or "hit" using the ToxCast
Pipeline. Most assay endpoint-chemical combinations are non-responsive.
Here, only the hits are treated as potential indicators of bioactivity. This
bioactivity does not have a direct toxicological interpretation. The October
2015 release (invitrodb_v2) of the ToxCast and Tox21 data were used for this
analysis. This object contains just the chemicals in Wambaugh et al. (2019)
and only the quantiles across all assays for the ACC.
Usage
wambaugh2019.tox21
Format
A data.table with 401 rows and 6 columns
Author(s)
John Wambaugh
Source
References
Kavlock, Robert, et al. "Update on EPA's ToxCast program:
providing high-throughput decision support tools for chemical risk
management." Chemical research in toxicology 25.7 (2012): 1287-1302.
Tice, Raymond R., et al. "Improving the human hazard characterization of
chemicals: a Tox21 update." Environmental health perspectives 121.7 (2013):
756-765.
Richard, Ann M., et al. "ToxCast chemical landscape: paving the road to 21st
century toxicology." Chemical research in toxicology 29.8 (2016): 1225-1251.
Filer, Dayne L., et al. "tcpl: the ToxCast pipeline for high-throughput
screening data." Bioinformatics 33.4 (2016): 618-620.
Wambaugh, John F., et al. "Assessing Toxicokinetic Uncertainty and
Variability in Risk Prioritization." Toxicological Sciences 172.2 (2019):
235-251.
httk documentation built on Sept. 11, 2024, 9:32 p.m.
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.
| wambaugh2019.tox21 | R Documentation |
Tox21 2015 Active Hit Calls (EPA)
Description
The ToxCast and Tox21 research programs employ batteries of high-throughput assays to assess chemical bioactivity in vitro. Not every chemical is tested through every assay. Most assays are conducted in concentration response, and each corresponding assay endpoint is analyzed statistically to determine if there is a concentration-dependent response or "hit" using the ToxCast Pipeline. Most assay endpoint-chemical combinations are non-responsive. Here, only the hits are treated as potential indicators of bioactivity. This bioactivity does not have a direct toxicological interpretation. The October 2015 release (invitrodb_v2) of the ToxCast and Tox21 data were used for this analysis. This object contains just the chemicals in Wambaugh et al. (2019) and only the quantiles across all assays for the ACC.
Usage
wambaugh2019.tox21
Format
A data.table with 401 rows and 6 columns
Author(s)
John Wambaugh
Source
References
Kavlock, Robert, et al. "Update on EPA's ToxCast program: providing high-throughput decision support tools for chemical risk management." Chemical research in toxicology 25.7 (2012): 1287-1302.
Tice, Raymond R., et al. "Improving the human hazard characterization of chemicals: a Tox21 update." Environmental health perspectives 121.7 (2013): 756-765.
Richard, Ann M., et al. "ToxCast chemical landscape: paving the road to 21st century toxicology." Chemical research in toxicology 29.8 (2016): 1225-1251.
Filer, Dayne L., et al. "tcpl: the ToxCast pipeline for high-throughput screening data." Bioinformatics 33.4 (2016): 618-620.
Wambaugh, John F., et al. "Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization." Toxicological Sciences 172.2 (2019): 235-251.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.