Dataset for 'From vision toward best practices: Evaluating in vitro transcriptomic points of departure for application in risk assessment using a uniform workflow'
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).
Resources
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Description |
Link |
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0 |
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162855 |
Tags
- transcriptomics
- new-approach-methods
- benchmark-dose-bmd-modeling
- chemical-safety
- in-vitro-to-in-vivo-extrapolation-ivive