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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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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2019
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| Matèries: | |
| Accés en línia: | 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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