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Spatial domain analysis predicts risk of colorectal cancer recurrence and infers associated tumor microenvironment networks
An unmet clinical need in solid tumor cancers is the ability to harness the intrinsic spatial information in primary tumors that can be exploited to optimize prognostics, diagnostics and therapeutic strategies for precision medicine. Here, we develop a transformational spatial analytics computationa...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360741/ https://www.ncbi.nlm.nih.gov/pubmed/32665557 http://dx.doi.org/10.1038/s41467-020-17083-x |