A novel multitask learning algorithm for tasks with distinct chemical space: zebrafish toxicity prediction as an example
Abstract Data scarcity is one of the most critical issues impeding the development of prediction models for chemical effects. Multitask learning algorithms leveraging knowledge from relevant tasks showed potential for dealing with tasks with limited data. However, current multitask methods mainly fo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-08-01
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| Series: | Journal of Cheminformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13321-024-00891-4 |