ClusterMap for multi-scale clustering analysis of spatial gene expression

Quantifying RNAs in their spatial context is crucial to understanding gene expression and regulation in complex tissues. In situ transcriptomic methods generate spatially resolved RNA profiles in intact tissues. However, there is a lack of a unified computational framework for integrative analysis o...

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Detalles Bibliográficos
Autores principales: He, Yichun, Tang, Xin, Huang, Jiahao, Ren, Jingyi, Zhou, Haowen, Chen, Kevin, Liu, Albert, Shi, Hailing, Lin, Zuwan, Li, Qiang, Aditham, Abhishek, Ounadjela, Johain, Grody, Emanuelle I., Shu, Jian, Liu, Jia, Wang, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501103/
https://www.ncbi.nlm.nih.gov/pubmed/34625546
http://dx.doi.org/10.1038/s41467-021-26044-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501103/
https://www.ncbi.nlm.nih.gov/pubmed/34625546
http://dx.doi.org/10.1038/s41467-021-26044-x

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