Visualize all of your parameters in a single 2D approximation!
Dimensionality Reduction has become a popular way of visualizing high parameter datasets, and is useful in overcoming some of the major obstacles associated with this type of data.
Most of the dimensionality reduction algorithms for FlowJo are available as plugins on FlowJo Exchange, hosting these tools in plugin form allows for very rapid deployment and development.
The tSNE algorithm has been implemented as a native feature in FlowJo v10.5+, for convenience and improved performance.
If you would like more information on the use of dimensionality reduction algorithms for your data, or any other advanced features in FlowJo, we would love to hear from you: firstname.lastname@example.org