A universal framework for single-cell multi-omics data integration with graph convolutional networks

Single-cell omics data are growing at an unprecedented rate, whereas effective integration of them remains challenging due to different sequencing methods, quality, and expression pattern of each omics data. In this study, we propose a universal framework for the integration of single-cell multi-omi...

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Detalles Bibliográficos
Autores principales: Gao, Hongli, Zhang, Bin, Liu, Long, Li, Shan, Gao, Xin, Yu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199767/
https://www.ncbi.nlm.nih.gov/pubmed/36929841
http://dx.doi.org/10.1093/bib/bbad081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199767/
https://www.ncbi.nlm.nih.gov/pubmed/36929841
http://dx.doi.org/10.1093/bib/bbad081

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