Improved Clustering Function

The tc_clusterPlots function now returns the results of the clustering. Earlier, it was just plotting the clusters. Now, plugins can use the returned values to identify which plot each of the inputs belong in. For example, the TryModelVariants.py plugin uses this information to identify sub-models (e.g. whether or not to include mRNA, how to model transcription regulation) that are responsible for creating different behaviors. The plugin outputs the cluster plots and outputs the sub-models in each cluster in a file.

Cluster plots

and the sub-models for each cluster

...the file contains all the clusters, but those are not shown here.