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Predicting Parkinson's Disease Genes Based on Node2vec and Autoencoder
Identifying genes associated with Parkinson's disease plays an extremely important role in the diagnosis and treatment of Parkinson's disease. In recent years, based on the guilt-by-association hypothesis, many methods have been proposed to predict disease-related genes, but few of these m...
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| Veröffentlicht in: | Front Genet |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6454041/ https://ncbi.nlm.nih.gov/pubmed/31001311 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2019.00226 |
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