Article
Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data.
Proceedings of the National Academy of Sciences of the United States of America - 25 Oct 2016
Abdelmoula Walid M, Balluff Benjamin, Englert Sonja, Dijkstra Jouke, Reinders Marcel J T, Walch Axel, McDonnell Liam A, Lelieveldt Boudewijn P F
Abstract excerpt
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 heterogeneity. The challenge has been to conduct an objective analysis of the resulting data to identify those...
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