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Predicting biomedical relationships using the knowledge and graph embedding cascade model
Advances in machine learning and deep learning methods, together with the increasing availability of large-scale pharmacological, genomic, and chemical datasets, have created opportunities for identifying potentially useful relationships within biochemical networks. Knowledge embedding models have b...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6565371/ https://ncbi.nlm.nih.gov/pubmed/31194807 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0218264 |
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