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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Detalles Bibliográficos
Autores principales: Uttam, Shikhar, Stern, Andrew M., Sevinsky, Christopher J., Furman, Samantha, Pullara, Filippo, Spagnolo, Daniel, Nguyen, Luong, Gough, Albert, Ginty, Fiona, Lansing Taylor, D., Chakra Chennubhotla, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

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