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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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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | 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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