Hi all!

Based on a previous post, I’m really happy with the integration results I’ve been able to achieve with this package!

I was hoping for a clarification on some results

So I am trying to understand the correlation matrix extracted from my circos plot. Given I have 4 blocks, based on my code I would expect this matrix to have all the features from the first component in rows and columns, and there would be the typical “triangle” structure where autocorrelations are perfect (1) while x vs y and y vs x correlation coefficients are the same. However, this is not the case. While the latter expectation holds true, the values for autocorrelations are <1 and seem more or less random. I’ve attached a screenshot below.

Is there a reason for this? How can I interpret these values? Does this have to do with the design matrix used for building the model? I have experimented with both full and data-driven design matrices, and neither give the expected result.

Thanks so much!