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Graph regularized L(2,1)-nonnegative matrix factorization for miRNA-disease association prediction
BACKGROUND: The aberrant expression of microRNAs is closely connected to the occurrence and development of a great deal of human diseases. To study human diseases, numerous effective computational models that are valuable and meaningful have been presented by researchers. RESULTS: Here, we present a...
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| Publicat a: | BMC Bioinformatics |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7029547/ https://ncbi.nlm.nih.gov/pubmed/32070280 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3409-x |
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