Consensus label propagation with graph convolutional networks for single-cell RNA sequencing cell type annotation

MOTIVATION: Single-cell RNA sequencing (scRNA-seq) data, annotated by cell type, is useful in a variety of downstream biological applications, such as profiling gene expression at the single-cell level. However, manually assigning these annotations with known marker genes is both time-consuming and...

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Detalles Bibliográficos
Autores principales: Lewinsohn, Daniel P, Vigh-Conrad, Katinka A, Conrad, Donald F, Scott, Cory B
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/PMC10272704/
https://www.ncbi.nlm.nih.gov/pubmed/37267208
http://dx.doi.org/10.1093/bioinformatics/btad360

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272704/
https://www.ncbi.nlm.nih.gov/pubmed/37267208
http://dx.doi.org/10.1093/bioinformatics/btad360

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