Script Algorithm Selection


This dialog is used to select algorithms during script construction. During selection the text fields in the Selection Preview panel will change to indicate the current selection.

There are three basic classes of algorithms from which to choose.

Analysis Algorithms

These algorithms include gene and experiment clustering algorithms, classification algorithms, statistical algorithms, and data visualizations.

Adjustment Algorithms

The Adjustment algorithms are those algorithms found in the Adjustment menu of the Multiple Array Viewer interface and include the Affymetrix™ based filters if Affymetrix ™ data is currently loaded. The Adjustment algorithms either filter the data based on some criteria or are used to perform a mathematical transformation of the data. These filtering or transformation options are typically run before cluster analysis.

Cluster Selection Algorithms

The cluster selection algorithms are specific to scripting in MeV. Automatic Cluster Selection allows the user to provide criteria for evaluating cluster results where clusters have no intrinsic identity such as “significant genes”. Once the set of input clusters are characterized, the clusters can be ranked based on criteria such as cluster diversity or centroid variance.