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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Detalles Bibliográficos
Autores principales: Xu, Bo, Liu, Yu, Yu, Shuo, Wang, Lei, Dong, Jie, Lin, Hongfei, Yang, Zhihao, Wang, Jian, Xia, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
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

Internet

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

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