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Semi-supervised learning for potential human microRNA-disease associations inference
MicroRNAs play critical role in the development and progression of various diseases. Predicting potential miRNA-disease associations from vast amount of biological data is an important problem in the biomedical research. Considering the limitations in previous methods, we developed Regularized Least...
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| Main Authors: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Publishing Group
2014
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4074792/ https://ncbi.nlm.nih.gov/pubmed/24975600 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep05501 |
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