A propagation method computes exact Shapley values for node importance in acyclic Boolean networks and approximates them in cyclic ones, recovering accurate rankings on Cell Collective benchmarks with major speed-ups.
Systems perturbation analysis of a large-scale signal transduction model reveals potentially influential candidates for cancer therapeutics
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Efficient Shapley values computation for Boolean network models of gene regulation
A propagation method computes exact Shapley values for node importance in acyclic Boolean networks and approximates them in cyclic ones, recovering accurate rankings on Cell Collective benchmarks with major speed-ups.