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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 |
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| Hauptverfasser: | , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
National Academy of Sciences
2016
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| Schlagworte: | |
| 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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