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Drug-Drug Interaction Discovery: Kernel Learning from Heterogeneous Similarities
We develop a pipeline to mine complex drug interactions by combining different similarities and interaction types (molecular, structural, phenotypic, genomic etc). Our goal is to learn an optimal kernel from these heterogeneous similarities in a supervised manner. We formulate an extensible framewor...
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| Publicado no: | Smart Health (Amst) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6289266/ https://ncbi.nlm.nih.gov/pubmed/30547078 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.smhl.2018.07.007 |
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