A graph neural network approach for molecule carcinogenicity prediction
MOTIVATION: Molecular carcinogenicity is a preventable cause of cancer, but systematically identifying carcinogenic compounds, which involves performing experiments on animal models, is expensive, time consuming and low throughput. As a result, carcinogenicity information is limited and building dat...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
NLM (Medline)
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |