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A network embedding model for pathogenic genes prediction by multi-path random walking on heterogeneous network
BACKGROUND: Prediction of pathogenic genes is crucial for disease prevention, diagnosis, and treatment. But traditional genetic localization methods are often technique-difficulty and time-consuming. With the development of computer science, computational biology has gradually become one of the main...
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| Publicado no: | BMC Med Genomics |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6927107/ https://ncbi.nlm.nih.gov/pubmed/31865919 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-019-0627-z |
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