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CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data
Deciphering the cellular composition in genome-wide spatially resolved transcriptomic data is a critical task to clarify the spatial context of cells in a tissue. In this study, we developed a method, CellDART, which estimates the spatial distribution of cells defined by single-cell level data using...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177989/ https://www.ncbi.nlm.nih.gov/pubmed/35191503 http://dx.doi.org/10.1093/nar/gkac084 |