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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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Detalles Bibliográficos
Autores principales:	Wang, Cheng, Zhang, Jun, Chen, Peng, Wang, Bing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234024/ https://www.ncbi.nlm.nih.gov/pubmed/34202954 http://dx.doi.org/10.3390/ijms22126598

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