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
FILE
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
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' |
