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Evolving knowledge graph similarity for supervised learning in complex biomedical domains
BACKGROUND: In recent years, biomedical ontologies have become important for describing existing biological knowledge in the form of knowledge graphs. Data mining approaches that work with knowledge graphs have been proposed, but they are based on vector representations that do not capture the full...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6942314/ https://ncbi.nlm.nih.gov/pubmed/31900127 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3296-1 |
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