Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data

The identification of tumor subpopulations that adversely affect patient outcomes is essential for a more targeted investigation into how tumors develop detrimental phenotypes, as well as for personalized therapy. Mass spectrometry imaging has demonstrated the ability to uncover molecular intratumor...

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Veröffentlicht in:Proc Natl Acad Sci U S A
Hauptverfasser: Abdelmoula, Walid M., Balluff, Benjamin, Englert, Sonja, Dijkstra, Jouke, Reinders, Marcel J. T., Walch, Axel, McDonnell, Liam A., Lelieveldt, Boudewijn P. F.
Format: Artigo
Sprache:Inglês
Veröffentlicht: National Academy of Sciences 2016
Schlagworte:
Biological Sciences
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5087072/
https://ncbi.nlm.nih.gov/pubmed/27791011
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1510227113
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