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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...
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| Publicado no: | Nat Commun |
|---|---|
| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7360741/ https://ncbi.nlm.nih.gov/pubmed/32665557 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-17083-x |
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