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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Detalhes bibliográficos

Principais autores:	Jujuan Zhuang, Changjing Ren, Dan Ren, Yu’ang Li, Danyang Liu, Lingyu Cui, Geng Tian, Jiasheng Yang, Jingbo Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2021-11-01
coleção:	Frontiers in Oncology
Assuntos:	single-cell RNA sequencing GO enrichment analysis KPCA semantic similarity analysis Gene Ontology
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fonc.2021.797057/full
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