Heterogeneous graph neural network for lncRNA-disease association prediction

Identifying lncRNA-disease associations is conducive to the diagnosis, treatment and prevention of diseases. Due to the expensive and time-consuming methods verified by biological experiments, prediction methods based on computational models have gradually become an important means of lncRNA-disease...

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Detalles Bibliográficos
Autores principales: Shi, Hong, Zhang, Xiaomeng, Tang, Lin, Liu, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585029/
https://www.ncbi.nlm.nih.gov/pubmed/36266433
http://dx.doi.org/10.1038/s41598-022-22447-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585029/
https://www.ncbi.nlm.nih.gov/pubmed/36266433
http://dx.doi.org/10.1038/s41598-022-22447-y

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