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Beyond the age of cellular discovery

Nature Immunology volume 15, pages 1095–1097 (2014)Cite this article

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The combination of machine-learning tools and mass-cytometry measurements of more than 30 protein markers per cell comprehensively maps cell identity in the heterogeneous myeloid cell system and reveals the global effect of deletion of the gene encoding the receptor for the growth factor GM-CSF.

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Figure 1: Machine learning and mass cytometry combine to create comprehensive maps of cellular phenotype.

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Authors and Affiliations

  1. Jonathan Michael Irish is in the Department of Cancer Biology and the Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.,

    Jonathan Michael Irish

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  1. Jonathan Michael Irish
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Correspondence to Jonathan Michael Irish.

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Competing interests

J.M.I. has personal financial interest in the company Cytobank Inc., a provider of software that includes algorithms referenced in this manuscript.

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Irish, J. Beyond the age of cellular discovery. Nat Immunol 15, 1095–1097 (2014). https://doi.org/10.1038/ni.3034

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