Exploring the Effects of Experimental Parameters and Data Modeling Approaches on In Vitro Transcriptomic Point-of-Departure Estimates
Description
Dataset for 'Exploring the Effects of Experimental Parameters and Data Modeling Approaches on In Vitro Transcriptomic Point-of-Departure Estimates' published in Toxicology December 2023, DOI https://doi.org/10.1016/j.tox.2023.153694.
This dataset is associated with the following publication:
Harrill, J., L. Everett, D. Haggard, J. Bundy, C. Willis, I. Shah, K. Friedman, D. Basili, A. Middleton, and R. Judson. Exploring the Effects of Experimental Parameters and Data Modeling Approaches on In Vitro Transcriptomic Point-of-Departure Estimates. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 501: 153694, (2024).
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=GSE249377 |
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https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=64be8d55e4b08a6b5a432a34&page=0 |
Tags
- new-approach-methods-nams
- transcriptomics
- point-of-departure
- in-vitro