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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...

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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

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