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. |