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Modelling in vitro mutagenicity using multitask deep learning and the REACH data
Supporting information for "Modelling In vitro Mutagenicity Using Multi-Task Deep Learning and REACH Data"
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Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Christopher Weaver", "hasEmail": "mailto:weaver.chris@epa.gov" } |
| description | Supporting information for "Modelling In vitro Mutagenicity Using Multi-Task Deep Learning and REACH Data" |
| distribution |
[ { "title": "Supporting information.zip", "mediaType": "application/zip", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1qmc/Supporting%20information.zip" } ] |
| identifier | https://doi.org/10.23719/d-1qmc |
| keyword |
[ "Deep learning", "Mutagenicity", "Reach", "genotoxicity", "graph convolutional network", "machine learning", "qsar" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2025-07-18 |
| programCode |
[ "020:000" ] |
| publisher |
{ "name": "U.S. Environmental Protection Agency", "subOrganizationOf": { "name": "U.S. Government" } } |
| references |
null
|
| rights |
null
|
| title | Modelling in vitro mutagenicity using multitask deep learning and the REACH data |
