ETGPDA: identification of piRNA-disease associations based on embedding transformation graph convolutional network

BACKGROUND: Piwi-interacting RNAs (piRNAs) have been proven to be closely associated with human diseases. The identification of the potential associations between piRNA and disease is of great significance for complex diseases. Traditional “wet experiment” is time-consuming and high-priced, predicti...

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Detalles Bibliográficos
Autores principales: Meng, Xianghan, Shang, Junliang, Ge, Daohui, Yang, Yi, Zhang, Tongdui, Liu, Jin-Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210294/
https://www.ncbi.nlm.nih.gov/pubmed/37226081
http://dx.doi.org/10.1186/s12864-023-09380-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210294/
https://www.ncbi.nlm.nih.gov/pubmed/37226081
http://dx.doi.org/10.1186/s12864-023-09380-8

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