Factor graph-aggregated heterogeneous network embedding for disease-gene association prediction

BACKGROUND: Exploring the relationship between disease and gene is of great significance for understanding the pathogenesis of disease and developing corresponding therapeutic measures. The prediction of disease-gene association by computational methods accelerates the process. RESULTS: Many existin...

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Detalles Bibliográficos
Autores principales: He, Ming, Huang, Chen, Liu, Bo, Wang, Yadong, Li, Junyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006390/
https://www.ncbi.nlm.nih.gov/pubmed/33781206
http://dx.doi.org/10.1186/s12859-021-04099-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006390/
https://www.ncbi.nlm.nih.gov/pubmed/33781206
http://dx.doi.org/10.1186/s12859-021-04099-3

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