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Meta-learning for transformer-based prediction of potent compounds
For many machine learning applications in drug discovery, only limited amounts of training data are available. This typically applies to compound design and activity prediction and often restricts machine learning, especially deep learning. For low-data applications, specialized learning strategies...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522638/ https://www.ncbi.nlm.nih.gov/pubmed/37752164 http://dx.doi.org/10.1038/s41598-023-43046-5 |