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Predicting drug−disease associations via sigmoid kernel-based convolutional neural networks
BACKGROUND: In the process of drug development, computational drug repositioning is effective and resource-saving with regards to its important functions on identifying new drug–disease associations. Recent years have witnessed a great progression in the field of data mining with the advent of deep...
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| Publicado no: | J Transl Med |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6868698/ https://ncbi.nlm.nih.gov/pubmed/31747915 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12967-019-2127-5 |
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