Note!
Clustering of features that show significant changes over time (= hits).
Clustering was done based on the min-max normalized shape of the spline.
For this, the spline parameters in the limma topTable are used to generate 1000 curve datapoints between 0 and 1. These datapoints are used for hierarchical clustering.
Right-click on any plot in this report to save it as a .svg (vector graphic) file!
If one level of the experiment is not shown, it means it has < 2 hits!
feature_name "formula": {annotation-column-x}_{annotation-column-y}_ ... :
No feature name columns provided!