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Heterogeneous network embedding enabling accurate disease association predictions
BACKGROUND: It is significant to identificate complex biological mechanisms of various diseases in biomedical research. Recently, the growing generation of tremendous amount of data in genomics, epigenomics, metagenomics, proteomics, metabolomics, nutriomics, etc., has resulted in the rise of system...
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| Veröffentlicht in: | BMC Med Genomics |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6927100/ https://ncbi.nlm.nih.gov/pubmed/31865913 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-019-0623-3 |
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