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WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network
BACKGROUND: An increasing number of biological and clinical evidences have indicated that the microorganisms significantly get involved in the pathological mechanism of extensive varieties of complex human diseases. Inferring potential related microbes for diseases can not only promote disease preve...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6824056/ https://ncbi.nlm.nih.gov/pubmed/31675979 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3066-0 |
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