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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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