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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234024/
https://www.ncbi.nlm.nih.gov/pubmed/34202954
http://dx.doi.org/10.3390/ijms22126598

Ejemplares similares