Single-cell classification using graph convolutional networks

BACKGROUND: Analyzing single-cell RNA sequencing (scRNAseq) data plays an important role in understanding the intrinsic and extrinsic cellular processes in biological and biomedical research. One significant effort in this area is the identification of cell types. With the availability of a huge amo...

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Detalles Bibliográficos
Autores principales: Wang, Tianyu, Bai, Jun, Nabavi, Sheida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268184/
https://www.ncbi.nlm.nih.gov/pubmed/34238220
http://dx.doi.org/10.1186/s12859-021-04278-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268184/
https://www.ncbi.nlm.nih.gov/pubmed/34238220
http://dx.doi.org/10.1186/s12859-021-04278-2

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