Displaying and analyzing high dimensional data using probability state modeling

 

C. Bruce Bagwell (Verity Software House)

The technique of Probability State Modeling (PSM) eliminates the necessity for gating, accounts for population overlap, and allows users to see all data correlations for any number of parameters with simple-to-understand graphics.  This laboratory will explore the use of PSM to analyze and display multi-parametric cytometry data.  We’ll begin the lab by carefully reviewing the concepts behind this new technique and then we will explore a number of data sets to see how it works with real data.  Some of the applications will include, but not be limited to, b-cell lineage, neutrophil lineage, and t-cell activation studies.  This is a completely hands-on laboratory.