scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

Single-cell RNA-sequencing (scRNA-Seq) is widely used to reveal the heterogeneity and dynamics of tissues, organisms, and complex diseases, but its analyses still suffer from multiple grand challenges, including the sequencing sparsity and complex differential patterns in gene expression. We introdu...

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Detalles Bibliográficos
Autores principales: Wang, Juexin, Ma, Anjun, Chang, Yuzhou, Gong, Jianting, Jiang, Yuexu, Qi, Ren, Wang, Cankun, Fu, Hongjun, Ma, Qin, Xu, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994447/
https://www.ncbi.nlm.nih.gov/pubmed/33767197
http://dx.doi.org/10.1038/s41467-021-22197-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994447/
https://www.ncbi.nlm.nih.gov/pubmed/33767197
http://dx.doi.org/10.1038/s41467-021-22197-x

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