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

Spatially resolved transcriptomics provides the opportunity to investigate the gene expression profiles and the spatial context of cells in naive state, but at low transcript detection sensitivity or with limited gene throughput. Comprehensive annotating of cell types in spatially resolved transcrip...

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Detalles Bibliográficos
Autores principales: Shen, Rongbo, Liu, Lin, Wu, Zihan, Zhang, Ying, Yuan, Zhiyuan, Guo, Junfu, Yang, Fan, Zhang, Chao, Chen, Bichao, Feng, Wanwan, Liu, Chao, Guo, Jing, Fan, Guozhen, Zhang, Yong, Li, Yuxiang, Xu, Xun, Yao, Jianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741613/
https://www.ncbi.nlm.nih.gov/pubmed/36496406
http://dx.doi.org/10.1038/s41467-022-35288-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741613/
https://www.ncbi.nlm.nih.gov/pubmed/36496406
http://dx.doi.org/10.1038/s41467-022-35288-0

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