Expression Profile Distribution Types

 

Expression Profiles can be set up with a number of different types of distributions. This page describes the types available in the software.  See Expression Profile Descriptions for related information.

 

Normal

Normal distributions are typically used when the events of interest are in an intensity band that relates to a peak. A normal distribution is also called a Gaussian distribution.

 

Inverse Normal

This is a rarely used distribution type. It selects the events that are not in the normal distribution.

 

Low Pass

This selects events in and below the normal distribution defined by the profile. It is commonly used for negative selection markers.

 

Inverse Low Pass

This selects events that are above the normal distribution defined by the profile. It can be used, for example, when there is a well-defined low peak that contains events that are not of interest.

 

 

High Pass

This selects events that are in and above the normal distribution defined by the profile. It can be used, for example, when a peak defines the lower area of interest, and you want to include all events above that.

 

Inverse High Pass

This selects events that are below the normal distribution defined by the profile. It can be used, for example, when a peak defines the lower area of interest, and you want to include only events below that.