Consensus clustering of single-cell RNA-seq data by enhancing network affinity

Elucidation of cell subpopulations at high resolution is a key and challenging goal of single-cell ribonucleic acid (RNA) sequencing (scRNA-seq) data analysis. Although unsupervised clustering methods have been proposed for de novo identification of cell populations, their performance and robustness...

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Detalles Bibliográficos
Autores principales: Cui, Yaxuan, Zhang, Shaoqiang, Liang, Ying, Wang, Xiangyun, Ferraro, Thomas N, Chen, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8574980/
https://www.ncbi.nlm.nih.gov/pubmed/34160582
http://dx.doi.org/10.1093/bib/bbab236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8574980/
https://www.ncbi.nlm.nih.gov/pubmed/34160582
http://dx.doi.org/10.1093/bib/bbab236

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