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CAJAL enables analysis and integration of single-cell morphological data using metric geometry
High-resolution imaging has revolutionized the study of single cells in their spatial context. However, summarizing the great diversity of complex cell shapes found in tissues and inferring associations with other single-cell data remains a challenge. Here, we present CAJAL, a general computational...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282047/ https://www.ncbi.nlm.nih.gov/pubmed/37339989 http://dx.doi.org/10.1038/s41467-023-39424-2 |