Dimension Reduction and Clustering Models for Single-Cell RNA Sequencing Data: A Comparative Study

With recent advances in single-cell RNA sequencing, enormous transcriptome datasets have been generated. These datasets have furthered our understanding of cellular heterogeneity and its underlying mechanisms in homogeneous populations. Single-cell RNA sequencing (scRNA-seq) data clustering can grou...

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Detalles Bibliográficos
Autores principales: Feng, Chao, Liu, Shufen, Zhang, Hao, Guan, Renchu, Li, Dan, Zhou, Fengfeng, Liang, Yanchun, Feng, Xiaoyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139673/
https://www.ncbi.nlm.nih.gov/pubmed/32235704
http://dx.doi.org/10.3390/ijms21062181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139673/
https://www.ncbi.nlm.nih.gov/pubmed/32235704
http://dx.doi.org/10.3390/ijms21062181

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