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Automated high-dimensional flow cytometric data analysis

Published:2009-05-14 Issue:21 Volume:106 Page:8519-8524
ISSN:0027-8424
Container-title:Proceedings of the National Academy of Sciences
language:en
Short-container-title:Proceedings of the National Academy of Sciences

Author:

Pyne S.,Hu X.,Wang K.,Rossin E.,Lin T.-I,Maier L. M.,Baecher-Allan C.,McLachlan G. J.,Tamayo P.,Hafler D. A.,De Jager P. L.,Mesirov J. P.

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Reference25 articles.

1. Seventeen-colour flow cytometry: unravelling the immune system

2. Beyond six colors: A new era in flow cytometry

3. 11-color, 13-parameter flow cytometry: Identification of human naive T cells by phenotype, function, and T-cell receptor diversity

4. Mapping normal and cancer cell signalling networks: towards single-cell proteomics

5. Automated gating of flow cytometry data via robust model-based clustering

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