Predicting chemical ecotoxicity by learning latent space chemical representations
In silico prediction of chemical ecotoxicity (HC50) represents an important complement to improve in vivo and in vitro toxicological assessment of manufactured chemicals. Recent application of machine learning models to predict chemical HC50 yields variable prediction performance that depends on eff...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |