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Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction
Researchers have realized that microRNAs (miRNAs) play significant roles in the pathogenesis of various diseases. Although many computational models have been proposed to predict the associations between miRNAs and diseases, prediction performance could still be improved. In this paper, we propose a...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Society of Gene & Cell Therapy
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637211/ https://www.ncbi.nlm.nih.gov/pubmed/31319245 http://dx.doi.org/10.1016/j.omtn.2019.06.014 |