Dataset for 'From vision toward best practices: Evaluating in vitro transcriptomic points of departure for application in risk assessment using a uniform workflow'
Data for Reardon AJF, et al., From vision toward best practices: Evaluating in vitro transcriptomic points of departure for application in risk assessment using a uniform workflow. Front. Toxicol. 5:1194895. doi: 10.3389/ftox.2023.1194895. PMC10242042.
This dataset is associated with the following publication:
Reardon, A., R. Farmahin, A. Williams, M. Meier, G. Addicks, C. Yauk, G. Matteo, E. Atlas, J. Harrill, L. Everett, I. Shah, R. Judson, S. Ramaiahgari, S. Ferguson, and T. Barton-Maclaren. From vision toward best practices: Evaluating in vitro transcriptomic points of departure for application in risk assessment using a uniform workflow. Frontiers in Toxicology. Frontiers, Lausanne, SWITZERLAND, 5: 1194895, (2023).
Resources
1 resource available
-
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162855
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Joshua Harrill",
"hasEmail": "mailto:harrill.joshua@epa.gov"
}
|
| description | Data for Reardon AJF, et al., From vision toward best practices: Evaluating in vitro transcriptomic points of departure for application in risk assessment using a uniform workflow. Front. Toxicol. 5:1194895. doi: 10.3389/ftox.2023.1194895. PMC10242042. This dataset is associated with the following publication: Reardon, A., R. Farmahin, A. Williams, M. Meier, G. Addicks, C. Yauk, G. Matteo, E. Atlas, J. Harrill, L. Everett, I. Shah, R. Judson, S. Ramaiahgari, S. Ferguson, and T. Barton-Maclaren. From vision toward best practices: Evaluating in vitro transcriptomic points of departure for application in risk assessment using a uniform workflow. Frontiers in Toxicology. Frontiers, Lausanne, SWITZERLAND, 5: 1194895, (2023). |
| distribution |
[
{
"title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162855",
"accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162855"
}
]
|
| identifier | https://doi.org/10.23719/1529149 |
| keyword |
[
"New Approach Methods",
"benchmark dose (BMD) modeling",
"chemical safety",
"in vitro to in vivo extrapolation (IVIVE)",
"transcriptomics"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2023-03-21 |
| programCode |
[
"020:000"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.3389/ftox.2023.1194895",
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242042"
]
|
| rights |
null
|
| title | Dataset for 'From vision toward best practices: Evaluating in vitro transcriptomic points of departure for application in risk assessment using a uniform workflow' |
