Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous network

BACKGROUND: Studies have found that miRNAs play an important role in many biological activities involved in human diseases. Revealing the associations between miRNA and disease by biological experiments is time-consuming and expensive. The computational approaches provide a new alternative. However,...

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Detalles Bibliográficos
Autores principales: Liu, Minghui, Yang, Jingyi, Wang, Jiacheng, Deng, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579981/
https://www.ncbi.nlm.nih.gov/pubmed/33087118
http://dx.doi.org/10.1186/s12920-020-00783-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579981/
https://www.ncbi.nlm.nih.gov/pubmed/33087118
http://dx.doi.org/10.1186/s12920-020-00783-0

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