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I am currently using SCENIC to identify some clusters and explore others in my data. I was wondering how to ask the right questions which could allow me to have a more directed exploration.

Biological interpretation of the z-score clustered heatmap

(i) the clustered heatmap is based on the z-scores of the AUC matrix. AUC measures the activity of the regulon (no. of TG in top 5% of ranked cell/ no. of target genes in regulon); and
(ii) cells containing similar regulons cluster together; then

Meaning:

these regulons have similar target genes and are most likely connected in a network?

these regulons can have different target genes but are all most associated with these clusters of cells?

summary statistics of the regulon distribution is used to cluster the cells in the clustered heatmap?

RSS scores
I was wondering if you can use Jensen–Shannon divergence to figure out the association of the given regulons (2 at a time)?

3- Using the binarized auc_mtx (with auc_thresholds)
Let's say that I want to ask the following questions: what regulons are highly expressed or present in cluster-X in dataset-S ?

In the binarized auc_mtx, can you claim the following about the regulon that has the highest no. of 1's in that group: basically say something like "In cluster X , regulon Y has the highest no. of cells that are marked as active (relative to regulon Y) compared to regulon Z which has the second highest (again, compared to itself)?

Thanks a lot!

Mean Z-scores for comparing regulons across clusters [results] Interpreting RSS and z-score clustering for cluster identification [results] Feb 27, 2021 changed the title Interpreting RSS and z-score clustering for cluster identification [results] Cluster identification/exploration with RSS and AUC scores Feb 27, 2021