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ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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January 16, 2019
DOI:
1The Bloomberg~Kimmel Institute for Cancer Immunotherapy,Johns Hopkins University School of Medicine, 2The Sidney Kimmel Comprehensive Cancer Center,Johns Hopkins University School of Medicine, 3Department of Biomedical Engineering,Johns Hopkins University School of Medicine, 4Department of Immunology,Johns Hopkins University School of Medicine, 5Department of Pathology,Johns Hopkins University School of Medicine
Summary
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ExCYT is a MATLAB-based Graphical User Interface (GUI) that allows users to analyze their flow cytometry data via commonly employed analytical techniques for high-dimensional data including dimensionality reduction via t-SNE, a variety of automated and manual clustering methods, heatmaps, and novel high-dimensional flow plots.
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Sidhom, J., Theodros, D., Murter, B., Zarif, J. C., Ganguly, S., Pardoll, D. M., Baras, A. ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data. J. Vis. Exp. (143), e57473, doi:10.3791/57473 (2019).
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