Prediction of circRNA-disease associations based on inductive matrix completion

BACKGROUND: Currently, numerous studies indicate that circular RNA (circRNA) is associated with various human complex diseases. While identifying disease-related circRNAs in vivo is time- and labor-consuming, a feasible and effective computational method to predict circRNA-disease associations is wo...

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Detalles Bibliográficos
Autores principales: Li, Menglu, Liu, Mengya, Bin, Yannan, Xia, Junfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118830/
https://www.ncbi.nlm.nih.gov/pubmed/32241268
http://dx.doi.org/10.1186/s12920-020-0679-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118830/
https://www.ncbi.nlm.nih.gov/pubmed/32241268
http://dx.doi.org/10.1186/s12920-020-0679-0

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