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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Bibliografske podrobnosti
izdano v:Nat Commun
Main Authors: 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.
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group UK 2020
Teme:
Article
Online dostop: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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