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Predicting Drug-Disease Associations via Using Gaussian Interaction Profile and Kernel-Based Autoencoder
Computational drug repositioning, designed to identify new indications for existing drugs, significantly reduced the cost and time involved in drug development. Prediction of drug-disease associations is promising for drug repositioning. Recent years have witnessed an increasing number of machine le...
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| 出版年: | Biomed Res Int |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Hindawi
2019
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6732622/ https://ncbi.nlm.nih.gov/pubmed/31534955 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/2426958 |
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