Reconstruction of the cell pseudo-space from single-cell RNA sequencing data with scSpace

Tissues are highly complicated with spatial heterogeneity in gene expression. However, the cutting-edge single-cell RNA-seq technology eliminates the spatial information of individual cells, which contributes to the characterization of cell identities. Herein, we propose single-cell spatial position...

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Detalles Bibliográficos
Autores principales: Qian, Jingyang, Liao, Jie, Liu, Ziqi, Chi, Ying, Fang, Yin, Zheng, Yanrong, Shao, Xin, Liu, Bingqi, Cui, Yongjin, Guo, Wenbo, Hu, Yining, Bao, Hudong, Yang, Penghui, Chen, Qian, Li, Mingxiao, Zhang, Bing, Fan, Xiaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148590/
https://www.ncbi.nlm.nih.gov/pubmed/37120608
http://dx.doi.org/10.1038/s41467-023-38121-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148590/
https://www.ncbi.nlm.nih.gov/pubmed/37120608
http://dx.doi.org/10.1038/s41467-023-38121-4

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