Supervised capacity preserving mapping: a clustering guided visualization method for scRNA-seq data

MOTIVATION: The rapid development of scRNA-seq technologies enables us to explore the transcriptome at the cell level on a large scale. Recently, various computational methods have been developed to analyze the scRNAseq data, such as clustering and visualization. However, current visualization metho...

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Detalles Bibliográficos
Autores principales: Zhai, Zhiqian, Lei, Yu L, Wang, Rongrong, Xie, Yuying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048682/
https://www.ncbi.nlm.nih.gov/pubmed/35253834
http://dx.doi.org/10.1093/bioinformatics/btac131

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048682/
https://www.ncbi.nlm.nih.gov/pubmed/35253834
http://dx.doi.org/10.1093/bioinformatics/btac131

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