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HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction
Recently, microRNAs (miRNAs) have drawn more and more attentions because accumulating experimental studies have indicated miRNA could play critical roles in multiple biological processes as well as the development and progression of human complex diseases. Using the huge number of known heterogeneou...
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| Vydáno v: | Oncotarget |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Impact Journals LLC
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5323153/ https://ncbi.nlm.nih.gov/pubmed/27533456 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.11251 |
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