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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Autores principales: Jujuan Zhuang, Changjing Ren, Dan Ren, Yu’ang Li, Danyang Liu, Lingyu Cui, Geng Tian, Jiasheng Yang, Jingbo Liu
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/4aff72a7f2aa4bb78055c14efbf49912
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