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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Detalles Bibliográficos
Autores principales: Long, Yahui, Luo, Jiawei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824056/
https://www.ncbi.nlm.nih.gov/pubmed/31675979
http://dx.doi.org/10.1186/s12859-019-3066-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824056/
https://www.ncbi.nlm.nih.gov/pubmed/31675979
http://dx.doi.org/10.1186/s12859-019-3066-0

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