GDCL-NcDA: identifying non-coding RNA-disease associations via contrastive learning between deep graph learning and deep matrix factorization

Non-coding RNAs (ncRNAs) draw much attention from studies widely in recent years because they play vital roles in life activities. As a good complement to wet experiment methods, computational prediction methods can greatly save experimental costs. However, high false-negative data and insufficient...

Descripción completa

Detalles Bibliográficos
Autores principales: Ai, Ning, Liang, Yong, Yuan, Haoliang, Ouyang, Dong, Xie, Shengli, Liu, Xiaoying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373414/
https://www.ncbi.nlm.nih.gov/pubmed/37501127
http://dx.doi.org/10.1186/s12864-023-09501-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373414/
https://www.ncbi.nlm.nih.gov/pubmed/37501127
http://dx.doi.org/10.1186/s12864-023-09501-3

Ejemplares similares