tSNE is an unsupervised nonlinear dimensionality reduction algorithm useful for visualizing high dimensional flow or mass cytometry data sets in a dimension-reduced data space. The tSNE platform computes two new derived parameters from a user defined selection of cytometric parameters. The tSNE-generated...
This chapter gives a step-by-step guide on using modern computational approaches to analyze complex flow cytometry data sets in FlowJo Software v10. The section will describe pre-processing and outline the steps needed to perform unsupervised clustering of your data set in addition to using ...
tSNE is an unsupervised nonlinear dimensionality reduction algorithm useful for visualizing high dimensional flow or mass cytometry data sets in a dimension-reduced data space. The tSNE platform computes two new derived parameters from a user defined selection of cytometric parameters. The tSNE-generated...