Fig. 2

A workflow of quantitative evaluation of attractor landscape. To reveal the effective cancer reversion target, we calculated a normal-like score for a given attractor landscape. The normal-like score represents the quantitative similarity of an attractor landscape with that of normal cells in regard to three phenotypic aspects of cancer such as proliferation, EMT, and stemness. Every attractor was scored by adding up the scores of these three aspects and multiplied by the ratio of basin size of attractors among the entire initial states with the given weights from experimental data. The probable cancer reversion targets can be identified by systematically perturbing each node in the network and selecting the perturbed nodes that increase the normal-like score after the perturbation