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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927107/ https://www.ncbi.nlm.nih.gov/pubmed/31865919 http://dx.doi.org/10.1186/s12920-019-0627-z |