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Probability-based collaborative filtering model for predicting gene–disease associations
BACKGROUND: Accurately predicting pathogenic human genes has been challenging in recent research. Considering extensive gene–disease data verified by biological experiments, we can apply computational methods to perform accurate predictions with reduced time and expenses. METHODS: We propose a proba...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751590/ https://www.ncbi.nlm.nih.gov/pubmed/29297351 http://dx.doi.org/10.1186/s12920-017-0313-y |