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Big data comes in tiny packages: single-cell driven science and health

Published:27 July 2015Publication History
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Abstract

Single-cell data creates computational opportunities for discovery in disease and human health.

References

  1. Bendall et. al. Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum. Science 332, 6030 (2011), 687--696.Google ScholarGoogle ScholarCross RefCross Ref
  2. van der Maaten, L.J.P et al Visualizing high-dimensional data using t-SNE. Journal of Machine Learning Research 9 (2008), 2579--2605; http://jmlr.org/papers/volume9/vandermaaten08a/vandermaaten08a.pdfGoogle ScholarGoogle Scholar
  3. Sachs, K. Causal protein-signaling networks derived from multiparameter single-cell data. Science 308, 5721 (2005), 523--529.Google ScholarGoogle ScholarCross RefCross Ref
  4. Bodenmiller et al. Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators. Nature Biotechnology 30, 9 (2012), 858--867.Google ScholarGoogle ScholarCross RefCross Ref

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  1. Big data comes in tiny packages: single-cell driven science and health

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      • Published in

        cover image XRDS: Crossroads, The ACM Magazine for Students
        XRDS: Crossroads, The ACM Magazine for Students  Volume 21, Issue 4
        Computational Biology
        Summer 2015
        70 pages
        ISSN:1528-4972
        EISSN:1528-4980
        DOI:10.1145/2809623
        Issue’s Table of Contents

        Copyright © 2015 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 27 July 2015

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