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From mass cytometry to cancer prognosis

Applying social network algorithms to mass cytometry data from single cancer cells leads to more accurate predictions of patient outcomes.

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Figure 1: Abbreviated pipeline in Levine et al.1.

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Correspondence to Deborah R Winter, Guy Ledergor or Ido Amit.

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The authors declare no competing financial interests.

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Winter, D., Ledergor, G. & Amit, I. From mass cytometry to cancer prognosis. Nat Biotechnol 33, 931–932 (2015). https://doi.org/10.1038/nbt.3346

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