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Predicting Drug–Target Interactions Based on the Ensemble Models of Multiple Feature Pairs
Backgroud: The prediction of drug–target interactions (DTIs) is of great significance in drug development. It is time-consuming and expensive in traditional experimental methods. Machine learning can reduce the cost of prediction and is limited by the characteristics of imbalanced datasets and probl...
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| Publicado no: | Int J Mol Sci |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8234024/ https://ncbi.nlm.nih.gov/pubmed/34202954 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijms22126598 |
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