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CANCER PROTEOMICS

Prognostic hallmarks in AML

Nature Biomedical Engineering volume 3, pages 847–849 (2019)Cite this article

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A data-clustering method that incorporates prior knowledge of biological context reveals prognostic signatures of proteomic expression in patients with acute myeloid leukaemia.

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Fig. 1: Overview of the MetaGalaxy analysis.
Fig. 2: Functional patterns observed in the hypoxia functional group.

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Authors and Affiliations

  1. Department of Biochemistry, University of Cambridge, Cambridge, UK

    Matthew A. Clarke & Jasmin Fisher

  2. UCL Cancer Institute, University College London, London, UK

    Jasmin Fisher

Authors
  1. Matthew A. Clarke
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  2. Jasmin Fisher
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Correspondence to Jasmin Fisher.

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Clarke, M.A., Fisher, J. Prognostic hallmarks in AML. Nat Biomed Eng 3, 847–849 (2019). https://doi.org/10.1038/s41551-019-0474-4

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