Stochastic Neighbor Embedding Methods: T-Sne and Verity Cen-se

Stochastic Neighbor Embedding Methods: T-Sne and Verity Cen-se

Recorded On: 06/10/2017

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The Presenter

Bruce Bagwell, MD, PhD
Verity Software House

Session Summary

In this tutorial, a step-by-step explanation of how t-SNE works will be presented. The tutorial will present some of the problems with the original implementation which dramatically limited its potential resolution of cytometry-defined cellular populations. A new variant of the method called Verity Cen-se will be presented that is considerably faster than the original method and presents populations in unprecedented high resolution. Several examples and experiments demonstrating the value of this tool will also be presented.


CMLE Credit: 1.5

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Stochastic Neighbor Embedding Methods: T-Sne and Verity Cen-se
Recorded 06/10/2017
Recorded 06/10/2017 A CYTO 2017 Scientific Tutorial Presented by Bruce Bagwell, MD, PhD
CMLE Evaluation Form
11 Questions
11 Questions CMLE Evaluation Form
Completion Credit
Live Viewing: 1.50 CMLE credits and certificate available
Live Viewing: 1.50 CMLE credits and certificate available