MLMDA: a machine learning approach to predict and validate MicroRNA–disease associations by integrating of heterogenous information sources

BACKGROUND: Emerging evidences show that microRNA (miRNA) plays an important role in many human complex diseases. However, considering the inherent time-consuming and expensive of traditional in vitro experiments, more and more attention has been paid to the development of efficient and feasible com...

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Detalles Bibliográficos
Autores principales: Zheng, Kai, You, Zhu-Hong, Wang, Lei, Zhou, Yong, Li, Li-Ping, Li, Zheng-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688360/
https://www.ncbi.nlm.nih.gov/pubmed/31395072
http://dx.doi.org/10.1186/s12967-019-2009-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688360/
https://www.ncbi.nlm.nih.gov/pubmed/31395072
http://dx.doi.org/10.1186/s12967-019-2009-x

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