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Prediction of cell position using single-cell transcriptomic data: an iterative procedure
Single-cell sequencing reveals cellular heterogeneity but not cell localization. However, by combining single-cell transcriptomic data with a reference atlas of a small set of genes, it would be possible to predict the position of individual cells and reconstruct the spatial expression profile of th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
F1000 Research Limited
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7194340/ https://www.ncbi.nlm.nih.gov/pubmed/32399185 http://dx.doi.org/10.12688/f1000research.20715.2 |