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Drug-target interaction prediction via class imbalance-aware ensemble learning
BACKGROUND: Multiple computational methods for predicting drug-target interactions have been developed to facilitate the drug discovery process. These methods use available data on known drug-target interactions to train classifiers with the purpose of predicting new undiscovered interactions. Howev...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5259867/ https://ncbi.nlm.nih.gov/pubmed/28155697 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1377-y |
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