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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| 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 |