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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| 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 |