A Novel Single-Cell RNA Sequencing Data Feature Extraction Method Based on Gene Function Analysis and Its Applications in Glioma Study

Critical in revealing cell heterogeneity and identifying new cell subtypes, cell clustering based on single-cell RNA sequencing (scRNA-seq) is challenging. Due to the high noise, sparsity, and poor annotation of scRNA-seq data, existing state-of-the-art cell clustering methods usually ignore gene fu...

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Detalles Bibliográficos
Autores principales: Zhuang, Jujuan, Ren, Changjing, Ren, Dan, Li, Yu’ang, Liu, Danyang, Cui, Lingyu, Tian, Geng, Yang, Jiasheng, Liu, Jingbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670174/
https://www.ncbi.nlm.nih.gov/pubmed/34917514
http://dx.doi.org/10.3389/fonc.2021.797057

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670174/
https://www.ncbi.nlm.nih.gov/pubmed/34917514
http://dx.doi.org/10.3389/fonc.2021.797057

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