WCSGNet: a graph neural network approach using weighted cell-specific networks for cell-type annotation in scRNA-seq

Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for understanding cellular heterogeneity, providing unprecedented resolution in molecular regulation analysis. Existing supervised learning approaches for cell type annotation primarily utilize gene expression profiles from scRNA-...

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Detalles Bibliográficos

Principais autores:	Yi-Ran Wang, Pu-Feng Du
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2025-02-01
Series:	Frontiers in Genetics
Assuntos:	scRNA-seq cell-type annotation gene expression graph neural networks cell specific gene association network
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fgene.2025.1553352/full
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