iPiDA-SWGCN: Identification of piRNA-disease associations based on Supplementarily Weighted Graph Convolutional Network

Accurately identifying potential piRNA-disease associations is of great importance in uncovering the pathogenesis of diseases. Recently, several machine-learning-based methods have been proposed for piRNA-disease association detection. However, they are suffering from the high sparsity of piRNA-dise...

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Detalles Bibliográficos
Autores principales: Hou, Jialu, Wei, Hang, Liu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313042/
https://www.ncbi.nlm.nih.gov/pubmed/37339125
http://dx.doi.org/10.1371/journal.pcbi.1011242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313042/
https://www.ncbi.nlm.nih.gov/pubmed/37339125
http://dx.doi.org/10.1371/journal.pcbi.1011242

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