Spatial-ID: a cell typing method for spatially resolved transcriptomics via transfer learning and spatial embedding

Autor: Rongbo Shen, Lin Liu, Zihan Wu, Ying Zhang, Zhiyuan Yuan, Junfu Guo, Fan Yang, Chao Zhang, Bichao Chen, Wanwan Feng, Chao Liu, Jing Guo, Guozhen Fan, Yong Zhang, Yuxiang Li, Xun Xu, Jianhua Yao
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-022-35288-0
Popis: Comprehensive annotating of cell types in spatially resolved transcriptomics to understand biological processes at the single cell level remains challenging. Here the authors introduce Spatial-ID, a supervision-based cell typing method, that combines the existing knowledge of reference single-cell RNA-seq data and the spatial information of spatially resolved transcriptomics data.
Databáze: Directory of Open Access Journals