Predictability features in cell line subsets

Is there a way to get relative importance scores for features in a selected collection of cell lines? It’s obviously possible to check for correlations between dependencies on a given gene and features in this way but it would be really useful to be able to generate correlation and relative importance values for a given disease type for example. I appreciate this isn’t currently a feature in the DepMap portal but any suggestions of how to do this outside of DepMap would be very interesting.


You could train a model using only those cell lines, but for any given disease type your model will be quite underpowered. I would stick to correlation measures.