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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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Vydáno v:Int J Mol Sci
Hlavní autoři: Wang, Cheng, Zhang, Jun, Chen, Peng, Wang, Bing
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2021
Témata:
On-line přístup: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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