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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Gepubliceerd in:Nat Commun
Hoofdauteurs: 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.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Publishing Group UK 2020
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Online toegang: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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