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...
The goal of this study is to document the clonal dynamics of CLL B cells at baseline and at response evaluation(s) for alterations in clonal architecture and expression of cell surface markers associated with therapy resistance using the single cell flow cytometry analysis tool, t-distributed ...
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...