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SKF-LDA: Similarity Kernel Fusion for Predicting lncRNA-Disease Association
Recently, prediction of lncRNA-disease associations has attracted more and more attentions. Various computational models have been proposed; however, there is still room to improve the prediction accuracy. In this paper, we propose a kernel fusion method with different types of similarities for the...
| 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/PMC6742806/ https://www.ncbi.nlm.nih.gov/pubmed/31514111 http://dx.doi.org/10.1016/j.omtn.2019.07.022 |