High-Dimensional Modeling for Cytometry: Building Rock Solid Models Using GemStone™ and Verity Cen-se'™ High-Definition t-SNE Mapping

Methods Mol Biol. 2018:1678:11-36. doi: 10.1007/978-1-4939-7346-0_2.

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.

Keywords: Cen-se’ mapping; High-dimensional modeling; Probability state model; t-SNE.

Publication types

  • Review

MeSH terms

  • Algorithms
  • Animals
  • Computational Biology / methods
  • Data Interpretation, Statistical
  • Flow Cytometry / methods*
  • Flow Cytometry / standards
  • Gene Expression Profiling / methods
  • Humans
  • Immunophenotyping / methods
  • Models, Statistical
  • Organ Specificity
  • Reproducibility of Results
  • Workflow