The use of projections for dimensionality reduction of flow cytometric data

Abstract

In order to visualize multiparameter flow cytometric measurements it is desirable to reduce the dimensionality of the data to two while preserving important features of each data pattern. We describe a method that projects two-parameter data onto a straight line that forms an angle theta with one of the original parameter axis. The angle is selected interactively or by principal component analysis. The procedure is applied on-line or off-line to pairs of parameters of the original data set that has been collected in LIST mode.