FCS Express provides users with many different cluster analysis tools which are referred to as Transformations to help you in analyzing high dimensional data. Example of these tools are k-means Clustering, Principal Component Analysis and the R integration tool.

In this tutorial we will:

•create a k-means clustering

•apply a k-means clustering

•work with a k-means clustering

As an example we will be performing our analysis on a sample of Peripheral Blood stained for different surface markers. However, please note that transformations can be performed and applied on any type of sample.