The goal right now is to find IC to IC stories that we can confirm with gradients. We find the correlations using xcorr plots but confirm/disconfirm them using filtered xcaus plots.
Why filtered? The idea here is that it should group samples by a feature that we want to causally study. For instance, if IC6 is highly active, then on those samples we'd like to see what has caused it to be so high/low. But we'd also like to group the plots for when IC-K is high/med/low at t=2 in order to see what effects IC-K being high has in later timesteps.
The goal right now is to find IC to IC stories that we can confirm with gradients. We find the correlations using xcorr plots but confirm/disconfirm them using filtered xcaus plots.
Why filtered? The idea here is that it should group samples by a feature that we want to causally study. For instance, if IC6 is highly active, then on those samples we'd like to see what has caused it to be so high/low. But we'd also like to group the plots for when IC-K is high/med/low at t=2 in order to see what effects IC-K being high has in later timesteps.