Adversarial dense graph convolutional networks for single-cell classification

MOTIVATION: In single-cell transcriptomics applications, effective identification of cell types in multicellular organisms and in-depth study of the relationships between genes has become one of the main goals of bioinformatics research. However, data heterogeneity and random noise pose significant...

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Detalles Bibliográficos
Autores principales: Wang, Kangwei, Li, Zhengwei, You, Zhu-Hong, Han, Pengyong, Nie, Ru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919433/
https://www.ncbi.nlm.nih.gov/pubmed/36661313
http://dx.doi.org/10.1093/bioinformatics/btad043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919433/
https://www.ncbi.nlm.nih.gov/pubmed/36661313
http://dx.doi.org/10.1093/bioinformatics/btad043

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