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DANE-MDA: Predicting microRNA-disease associations via deep attributed network embedding
Predicting the microRNA-disease associations by using computational methods is conductive to the efficiency of costly and laborious traditional bio-experiments. In this study, we propose a computational machine learning-based method (DANE-MDA) that preserves integrated structure and attribute featur...
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| 出版年: | iScience |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8141887/ https://ncbi.nlm.nih.gov/pubmed/34041455 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isci.2021.102455 |
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