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Predicting drug-target interactions by dual-network integrated logistic matrix factorization
In this work, we propose a dual-network integrated logistic matrix factorization (DNILMF) algorithm to predict potential drug-target interactions (DTI). The prediction procedure consists of four steps: (1) inferring new drug/target profiles and constructing profile kernel matrix; (2) diffusing drug...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5227688/ https://ncbi.nlm.nih.gov/pubmed/28079135 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep40376 |
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