Hi all, I am trying to create a model of drug response vs. mutation data in certain cell lines, where I can study the effect of a combination of the mutations (i.e., combination of feature variables in the model to predict the response). This Nature paper describes essentially what I need: https://www.nature.com/articles/srep36812. However, their program LOBICO seem to be unsupported and the adapted R package RLOBICO (https://github.com/bhklab/RLOBICO) refuses to run on my hardware. Are there alternatives to do something similar? Something like a random forests model could work as well but I don't think I can extract combinatory effects between the predictors.