BETR: Bayesian Estimation of Temporal Regulation
Parameter Information
BETR is a flexible linear random-effects modeling framework that takes into account
correlations between samples and sampling times.
Type of Data
Choose the type of data that BETR will run on.
2-Condition: Each condition must have multiple replicates for each time-point.
1-Condition: Only one condition, the initial time-point will be treated as the control.
Paired data: Data exists as a difference between two-conditions.
Choosing Time and Conditions
After choosing the type of data and number of time-points a dialog appears for time
and condition assignments. You may assign your samples using either the individual button selection method
or the cluster selection method.
For each condition every time-point must be assigned at least two samples.
Alpha value
This text field allows you to enter the alpha or critical p-value.
Hierarchical Clustering
This check box specifies whether to perform hierarchical clustering on the elements in
each cluster created