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Predicting metabolite-disease associations based on KATZ model
BACKGROUND: Increasing numbers of evidences have illuminated that metabolites can respond to pathological changes. However, identifying the diseases-related metabolites is a magnificent challenge in the field of biology and medicine. Traditional medical equipment not only has the limitation of its a...
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| Veröffentlicht in: | BioData Min |
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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/PMC6815005/ https://ncbi.nlm.nih.gov/pubmed/31673292 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-019-0206-z |
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