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DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches
MOTIVATION: Finding computationally drug–target interactions (DTIs) is a convenient strategy to identify new DTIs at low cost with reasonable accuracy. However, the current DTI prediction methods suffer the high false positive prediction rate. RESULTS: We developed DDR, a novel method that improves...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5998943/ https://ncbi.nlm.nih.gov/pubmed/29186331 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx731 |
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