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Benchmarking cell-type clustering methods for spatially resolved transcriptomics data
Spatially resolved transcriptomics technologies enable the measurement of transcriptome information while retaining the spatial context at the regional, cellular or sub-cellular level. While previous computational methods have relied on gene expression information alone for clustering single-cell po...
| 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/PMC9851325/ https://www.ncbi.nlm.nih.gov/pubmed/36410733 http://dx.doi.org/10.1093/bib/bbac475 |