Abstract
This chapter outlines how to approach the complex tasks associated with designing models for high-dimensional cytometry data. Unlike gating approaches, modeling lends itself to automation and accounts for measurement overlap among cellular populations. Designing these models is now easier because of a new technique called high-definition t-SNE mapping. Nontrivial examples are provided that serve as a guide to create models that are consistent with data.
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This author works for the company that develops and sells GemStone™. Every effort has been made to discuss general modeling concepts that would be applicable to other modeling packages if and when they become available.
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Bruce Bagwell, C. (2018). High-Dimensional Modeling for Cytometry: Building Rock Solid Models Using GemStone™ and Verity Cen-se’™ High-Definition t-SNE Mapping. In: Hawley, T., Hawley, R. (eds) Flow Cytometry Protocols. Methods in Molecular Biology, vol 1678. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7346-0_2
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DOI: https://doi.org/10.1007/978-1-4939-7346-0_2
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