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Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network
Table of contents
Table S1 DNT inventory List of sources and associated data collected for the development of the Bayesian hierarchical model.
Table S2 Data collection It contains the compiled raw data.
Table S3 Final dataset It contains data after curation agreed to be included in the Bayesian hierarchical model.
Table S4 List of encoders Machine readable format used to encode the data.
Table S5 Machine readable The final dataset translated into a machine readable file using the encoders listed above.
Table S6 Results for DNT Based on the cut-offs derived from the results themselves, three classes of DNT are proposed (low, medium and high predicted probability). Results are summarised accordingly.
This dataset is associated with the following publication:
Spinu, N., M. Cronin, J. Lao, A. Bal-Price, I. Campia, S. Enoch, J. Madden, L. Lagares, M. Novic, D. Pamies, S. Scholz, D. Villeneuve, and A. Worth. Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 21: 100206, (2022).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
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| contactPoint |
{
"fn": "Daniel Villeneuve",
"hasEmail": "mailto:villeneuve.dan@epa.gov"
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|
| description | Table of contents Table S1 DNT inventory List of sources and associated data collected for the development of the Bayesian hierarchical model. Table S2 Data collection It contains the compiled raw data. Table S3 Final dataset It contains data after curation agreed to be included in the Bayesian hierarchical model. Table S4 List of encoders Machine readable format used to encode the data. Table S5 Machine readable The final dataset translated into a machine readable file using the encoders listed above. Table S6 Results for DNT Based on the cut-offs derived from the results themselves, three classes of DNT are proposed (low, medium and high predicted probability). Results are summarised accordingly. This dataset is associated with the following publication: Spinu, N., M. Cronin, J. Lao, A. Bal-Price, I. Campia, S. Enoch, J. Madden, L. Lagares, M. Novic, D. Pamies, S. Scholz, D. Villeneuve, and A. Worth. Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 21: 100206, (2022). |
| distribution |
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"title": "https://www.sciencedirect.com/science/article/pii/S2468111321000529?via%3Dihub#s0070",
"accessURL": "https://www.sciencedirect.com/science/article/pii/S2468111321000529?via%3Dihub#s0070"
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|
| identifier | https://doi.org/10.23719/1526406 |
| keyword |
[
"Adverse Outcome Pathways (AOPs)",
"New Approach Methods (Alternatives to Animal Testi",
"computational toxicology",
"developmental neurotoxicity",
"screening and prioritization"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html |
| modified | 2022-05-04 |
| programCode |
[
"020:000"
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| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
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|
| references |
[
"https://doi.org/10.1016/j.comtox.2021.100206"
]
|
| rights |
null
|
| title | Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network |
